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bench : update numbers [no ci] (#2993)

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Georgi Gerganov 2025-04-02 16:27:36 +03:00 committed by GitHub
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scripts/bench-all-gg.txt
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@ -1,4 +1,4 @@
## M1 Pro
## M1 Pro (old 22c96b4)
make -j && ./scripts/bench-all.sh 8
@ -67,202 +67,184 @@ make -j && ./scripts/bench-all.sh 8
Running memcpy benchmark
memcpy: 46.58 GB/s (heat-up)
memcpy: 54.16 GB/s ( 1 thread)
memcpy: 54.23 GB/s ( 1 thread)
memcpy: 99.63 GB/s ( 2 thread)
memcpy: 140.59 GB/s ( 3 thread)
memcpy: 176.52 GB/s ( 4 thread)
memcpy: 158.90 GB/s ( 5 thread)
memcpy: 163.00 GB/s ( 6 thread)
memcpy: 189.69 GB/s ( 7 thread)
memcpy: 197.15 GB/s ( 8 thread)
sum: -5120002007.000000
memcpy: 48.01 GB/s (heat-up)
memcpy: 56.00 GB/s ( 1 thread)
memcpy: 56.20 GB/s ( 1 thread)
memcpy: 102.69 GB/s ( 2 thread)
memcpy: 140.32 GB/s ( 3 thread)
memcpy: 179.04 GB/s ( 4 thread)
memcpy: 159.61 GB/s ( 5 thread)
memcpy: 159.02 GB/s ( 6 thread)
memcpy: 180.29 GB/s ( 7 thread)
memcpy: 198.10 GB/s ( 8 thread)
sum: -5119999345.000000
make -j && ./scripts/bench-all.sh 1
Running ggml_mul_mat benchmark with 1 threads
64 x 64: Q4_0 245.8 GFLOPS (128 runs) | Q4_1 168.6 GFLOPS (128 runs)
64 x 64: Q5_0 115.7 GFLOPS (128 runs) | Q5_1 125.9 GFLOPS (128 runs) | Q8_0 215.8 GFLOPS (128 runs)
64 x 64: F16 139.5 GFLOPS (128 runs) | F32 337.2 GFLOPS (128 runs)
128 x 128: Q4_0 494.8 GFLOPS (128 runs) | Q4_1 350.4 GFLOPS (128 runs)
128 x 128: Q5_0 257.1 GFLOPS (128 runs) | Q5_1 261.4 GFLOPS (128 runs) | Q8_0 509.4 GFLOPS (128 runs)
128 x 128: F16 302.3 GFLOPS (128 runs) | F32 672.8 GFLOPS (128 runs)
256 x 256: Q4_0 795.7 GFLOPS (128 runs) | Q4_1 663.7 GFLOPS (128 runs)
256 x 256: Q5_0 737.8 GFLOPS (128 runs) | Q5_1 757.6 GFLOPS (128 runs) | Q8_0 827.7 GFLOPS (128 runs)
256 x 256: F16 872.6 GFLOPS (128 runs) | F32 956.3 GFLOPS (128 runs)
512 x 512: Q4_0 1188.0 GFLOPS (128 runs) | Q4_1 1085.0 GFLOPS (128 runs)
512 x 512: Q5_0 1421.1 GFLOPS (128 runs) | Q5_1 1454.9 GFLOPS (128 runs) | Q8_0 1191.4 GFLOPS (128 runs)
512 x 512: F16 1577.4 GFLOPS (128 runs) | F32 1982.0 GFLOPS (128 runs)
1024 x 1024: Q4_0 2342.6 GFLOPS (128 runs) | Q4_1 1955.8 GFLOPS (128 runs)
1024 x 1024: Q5_0 2306.7 GFLOPS (128 runs) | Q5_1 2217.0 GFLOPS (128 runs) | Q8_0 2230.7 GFLOPS (128 runs)
1024 x 1024: F16 2593.8 GFLOPS (128 runs) | F32 3269.0 GFLOPS (128 runs)
2048 x 2048: Q4_0 3735.7 GFLOPS (128 runs) | Q4_1 3205.3 GFLOPS (128 runs)
2048 x 2048: Q5_0 3584.5 GFLOPS (128 runs) | Q5_1 3621.7 GFLOPS (128 runs) | Q8_0 3622.3 GFLOPS (128 runs)
2048 x 2048: F16 3763.6 GFLOPS (128 runs) | F32 4153.3 GFLOPS (128 runs)
4096 x 4096: Q4_0 3891.1 GFLOPS ( 29 runs) | Q4_1 3554.0 GFLOPS ( 26 runs)
4096 x 4096: Q5_0 3753.1 GFLOPS ( 28 runs) | Q5_1 3750.1 GFLOPS ( 28 runs) | Q8_0 3768.5 GFLOPS ( 28 runs)
4096 x 4096: F16 3864.2 GFLOPS ( 29 runs) | F32 3970.5 GFLOPS ( 29 runs)
64 x 64: Q4_0 37.7 GFLOPS (128 runs) | Q4_1 36.0 GFLOPS (128 runs)
64 x 64: Q5_0 20.1 GFLOPS (128 runs) | Q5_1 19.8 GFLOPS (128 runs) | Q8_0 39.5 GFLOPS (128 runs)
64 x 64: F16 29.9 GFLOPS (128 runs) | F32 22.6 GFLOPS (128 runs)
128 x 128: Q4_0 71.0 GFLOPS (128 runs) | Q4_1 62.2 GFLOPS (128 runs)
128 x 128: Q5_0 33.4 GFLOPS (128 runs) | Q5_1 31.6 GFLOPS (128 runs) | Q8_0 79.8 GFLOPS (128 runs)
128 x 128: F16 52.4 GFLOPS (128 runs) | F32 32.7 GFLOPS (128 runs)
256 x 256: Q4_0 88.6 GFLOPS (128 runs) | Q4_1 77.2 GFLOPS (128 runs)
256 x 256: Q5_0 40.3 GFLOPS (128 runs) | Q5_1 36.8 GFLOPS (128 runs) | Q8_0 102.5 GFLOPS (128 runs)
256 x 256: F16 64.6 GFLOPS (128 runs) | F32 36.4 GFLOPS (128 runs)
512 x 512: Q4_0 94.7 GFLOPS (128 runs) | Q4_1 83.6 GFLOPS (128 runs)
512 x 512: Q5_0 45.9 GFLOPS (128 runs) | Q5_1 41.3 GFLOPS (128 runs) | Q8_0 112.8 GFLOPS (128 runs)
512 x 512: F16 72.3 GFLOPS (128 runs) | F32 37.7 GFLOPS (128 runs)
1024 x 1024: Q4_0 98.9 GFLOPS ( 47 runs) | Q4_1 88.2 GFLOPS ( 42 runs)
1024 x 1024: Q5_0 49.0 GFLOPS ( 23 runs) | Q5_1 43.9 GFLOPS ( 21 runs) | Q8_0 121.0 GFLOPS ( 57 runs)
1024 x 1024: F16 72.6 GFLOPS ( 34 runs) | F32 36.0 GFLOPS ( 17 runs)
2048 x 2048: Q4_0 101.3 GFLOPS ( 6 runs) | Q4_1 90.0 GFLOPS ( 6 runs)
2048 x 2048: Q5_0 50.8 GFLOPS ( 3 runs) | Q5_1 45.3 GFLOPS ( 3 runs) | Q8_0 124.1 GFLOPS ( 8 runs)
2048 x 2048: F16 70.7 GFLOPS ( 5 runs) | F32 30.4 GFLOPS ( 3 runs)
4096 x 4096: Q4_0 101.7 GFLOPS ( 3 runs) | Q4_1 90.3 GFLOPS ( 3 runs)
4096 x 4096: Q5_0 52.2 GFLOPS ( 3 runs) | Q5_1 45.7 GFLOPS ( 3 runs) | Q8_0 123.0 GFLOPS ( 3 runs)
4096 x 4096: F16 60.3 GFLOPS ( 3 runs) | F32 29.8 GFLOPS ( 3 runs)
make -j && ./scripts/bench-all.sh 1 1 0
| CPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| M2 ULTRA | METAL | tiny | 1 | 0 | 12.32 | 1.35 | 0.49 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | tiny-q5_0 | 1 | 0 | 11.65 | 1.30 | 0.51 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | tiny-q5_1 | 1 | 0 | 12.08 | 1.30 | 0.51 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | base | 1 | 0 | 17.58 | 1.90 | 0.76 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | base-q5_0 | 1 | 0 | 18.89 | 1.86 | 0.79 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | base-q5_1 | 1 | 0 | 20.69 | 1.88 | 0.79 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | small | 1 | 0 | 49.32 | 3.85 | 1.71 | 0.05 | 22c96b4 |
| M2 ULTRA | METAL | small-q5_0 | 1 | 0 | 54.91 | 3.81 | 1.82 | 0.06 | 22c96b4 |
| M2 ULTRA | METAL | small-q5_1 | 1 | 0 | 54.92 | 3.81 | 1.79 | 0.06 | 22c96b4 |
| M2 ULTRA | METAL | medium | 1 | 0 | 134.34 | 8.04 | 3.82 | 0.13 | 22c96b4 |
| M2 ULTRA | METAL | medium-q5_0 | 1 | 0 | 151.68 | 7.59 | 4.07 | 0.14 | 22c96b4 |
| M2 ULTRA | METAL | medium-q5_1 | 1 | 0 | 151.58 | 7.67 | 4.07 | 0.14 | 22c96b4 |
| M2 ULTRA | METAL | medium-dis | 1 | 0 | 120.82 | 1.07 | 0.41 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | large-v2 | 1 | 0 | 235.63 | 12.27 | 5.85 | 0.22 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-q5_0 | 1 | 0 | 273.38 | 11.17 | 6.40 | 0.26 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-q5_1 | 1 | 0 | 272.44 | 11.32 | 6.29 | 0.26 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-dis | 1 | 0 | 212.51 | 1.20 | 0.47 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | tiny | 1 | 0 | 8.74 | 1.20 | 0.36 | 0.01 | ad4e350 |
| M2 ULTRA | METAL | tiny-q5_0 | 1 | 0 | 10.30 | 1.15 | 0.38 | 0.01 | ad4e350 |
| M2 ULTRA | METAL | tiny-q5_1 | 1 | 0 | 10.71 | 1.13 | 0.38 | 0.01 | ad4e350 |
| M2 ULTRA | METAL | tiny-q8_0 | 1 | 0 | 9.97 | 1.12 | 0.37 | 0.01 | ad4e350 |
| M2 ULTRA | METAL | base | 1 | 0 | 16.77 | 1.71 | 0.44 | 0.02 | ad4e350 |
| M2 ULTRA | METAL | base-q5_0 | 1 | 0 | 16.92 | 1.63 | 0.44 | 0.02 | ad4e350 |
| M2 ULTRA | METAL | base-q5_1 | 1 | 0 | 16.84 | 1.63 | 0.44 | 0.02 | ad4e350 |
| M2 ULTRA | METAL | base-q8_0 | 1 | 0 | 16.12 | 1.63 | 0.44 | 0.02 | ad4e350 |
| M2 ULTRA | METAL | small | 1 | 0 | 45.29 | 3.44 | 0.92 | 0.05 | ad4e350 |
| M2 ULTRA | METAL | small-q5_0 | 1 | 0 | 50.43 | 3.34 | 0.94 | 0.06 | ad4e350 |
| M2 ULTRA | METAL | small-q5_1 | 1 | 0 | 50.49 | 3.35 | 0.93 | 0.06 | ad4e350 |
| M2 ULTRA | METAL | small-q8_0 | 1 | 0 | 47.37 | 3.20 | 0.91 | 0.05 | ad4e350 |
| M2 ULTRA | METAL | medium | 1 | 0 | 122.81 | 7.39 | 1.99 | 0.12 | ad4e350 |
| M2 ULTRA | METAL | medium-q5_0 | 1 | 0 | 140.62 | 6.73 | 2.03 | 0.14 | ad4e350 |
| M2 ULTRA | METAL | medium-q5_1 | 1 | 0 | 140.44 | 6.74 | 2.04 | 0.14 | ad4e350 |
| M2 ULTRA | METAL | medium-q8_0 | 1 | 0 | 131.05 | 6.54 | 1.95 | 0.13 | ad4e350 |
| M2 ULTRA | METAL | medium-dis | 1 | 0 | 110.95 | 0.99 | 0.24 | 0.02 | ad4e350 |
| M2 ULTRA | METAL | large-v2 | 1 | 0 | 222.19 | 10.93 | 3.01 | 0.21 | ad4e350 |
| M2 ULTRA | METAL | large-v2-q5_0 | 1 | 0 | 258.47 | 9.75 | 3.01 | 0.25 | ad4e350 |
| M2 ULTRA | METAL | large-v2-q5_1 | 1 | 0 | 258.40 | 9.85 | 3.01 | 0.24 | ad4e350 |
| M2 ULTRA | METAL | large-v2-q8_0 | 1 | 0 | 236.68 | 9.61 | 2.85 | 0.23 | ad4e350 |
| M2 ULTRA | METAL | large-v2-dis | 1 | 0 | 199.28 | 1.12 | 0.27 | 0.02 | ad4e350 |
| M2 ULTRA | METAL | large-v3-turbo | 1 | 0 | 201.49 | 1.76 | 0.45 | 0.03 | ad4e350 |
| M2 ULTRA | METAL | large-v3-turbo-q5_0 | 1 | 0 | 233.70 | 1.55 | 0.46 | 0.04 | ad4e350 |
| M2 ULTRA | METAL | large-v3-turbo-q8_0 | 1 | 0 | 214.20 | 1.51 | 0.44 | 0.04 | ad4e350 |
make -j && ./scripts/bench-all.sh 1 1 1
| CPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| M2 ULTRA | METAL | tiny | 1 | 1 | 9.07 | 1.33 | 0.45 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | tiny-q5_0 | 1 | 1 | 9.74 | 1.33 | 0.47 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | tiny-q5_1 | 1 | 1 | 8.93 | 1.31 | 0.46 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | base | 1 | 1 | 15.75 | 1.87 | 0.71 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | base-q5_0 | 1 | 1 | 17.04 | 1.83 | 0.74 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | base-q5_1 | 1 | 1 | 17.17 | 1.83 | 0.74 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | small | 1 | 1 | 42.33 | 3.64 | 1.60 | 0.05 | 22c96b4 |
| M2 ULTRA | METAL | small-q5_0 | 1 | 1 | 47.61 | 3.63 | 1.70 | 0.05 | 22c96b4 |
| M2 ULTRA | METAL | small-q5_1 | 1 | 1 | 47.70 | 3.66 | 1.68 | 0.05 | 22c96b4 |
| M2 ULTRA | METAL | medium | 1 | 1 | 114.42 | 7.53 | 3.55 | 0.11 | 22c96b4 |
| M2 ULTRA | METAL | medium-q5_0 | 1 | 1 | 132.63 | 7.02 | 3.77 | 0.13 | 22c96b4 |
| M2 ULTRA | METAL | medium-q5_1 | 1 | 1 | 132.28 | 7.10 | 3.76 | 0.13 | 22c96b4 |
| M2 ULTRA | METAL | medium-dis | 1 | 1 | 102.34 | 1.01 | 0.42 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | large-v2 | 1 | 1 | 203.01 | 11.03 | 5.45 | 0.20 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-q5_0 | 1 | 1 | 240.05 | 10.18 | 5.98 | 0.23 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-q5_1 | 1 | 1 | 239.22 | 10.23 | 5.87 | 0.23 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-dis | 1 | 1 | 181.14 | 1.14 | 0.48 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | tiny | 1 | 1 | 7.82 | 1.31 | 0.35 | 0.01 | ad4e350 |
| M2 ULTRA | METAL | tiny-q5_0 | 1 | 1 | 8.32 | 1.28 | 0.37 | 0.01 | ad4e350 |
| M2 ULTRA | METAL | tiny-q5_1 | 1 | 1 | 8.21 | 1.28 | 0.37 | 0.01 | ad4e350 |
| M2 ULTRA | METAL | tiny-q8_0 | 1 | 1 | 7.97 | 1.23 | 0.36 | 0.01 | ad4e350 |
| M2 ULTRA | METAL | base | 1 | 1 | 13.96 | 1.80 | 0.42 | 0.02 | ad4e350 |
| M2 ULTRA | METAL | base-q5_0 | 1 | 1 | 15.19 | 1.75 | 0.42 | 0.02 | ad4e350 |
| M2 ULTRA | METAL | base-q5_1 | 1 | 1 | 15.09 | 1.75 | 0.42 | 0.02 | ad4e350 |
| M2 ULTRA | METAL | base-q8_0 | 1 | 1 | 14.45 | 1.70 | 0.41 | 0.02 | ad4e350 |
| M2 ULTRA | METAL | small | 1 | 1 | 40.08 | 3.54 | 0.86 | 0.05 | ad4e350 |
| M2 ULTRA | METAL | small-q5_0 | 1 | 1 | 45.07 | 3.51 | 0.88 | 0.05 | ad4e350 |
| M2 ULTRA | METAL | small-q5_1 | 1 | 1 | 45.05 | 3.52 | 0.88 | 0.05 | ad4e350 |
| M2 ULTRA | METAL | small-q8_0 | 1 | 1 | 42.04 | 3.34 | 0.85 | 0.05 | ad4e350 |
| M2 ULTRA | METAL | medium | 1 | 1 | 107.20 | 7.28 | 1.79 | 0.11 | ad4e350 |
| M2 ULTRA | METAL | medium-q5_0 | 1 | 1 | 125.02 | 6.67 | 1.83 | 0.12 | ad4e350 |
| M2 ULTRA | METAL | medium-q5_1 | 1 | 1 | 124.83 | 6.70 | 1.84 | 0.12 | ad4e350 |
| M2 ULTRA | METAL | medium-q8_0 | 1 | 1 | 114.56 | 6.53 | 1.79 | 0.11 | ad4e350 |
| M2 ULTRA | METAL | medium-dis | 1 | 1 | 95.96 | 1.01 | 0.23 | 0.01 | ad4e350 |
| M2 ULTRA | METAL | large-v2 | 1 | 1 | 194.29 | 10.57 | 2.67 | 0.20 | ad4e350 |
| M2 ULTRA | METAL | large-v2-q5_0 | 1 | 1 | 230.74 | 9.57 | 2.73 | 0.23 | ad4e350 |
| M2 ULTRA | METAL | large-v2-q5_1 | 1 | 1 | 229.97 | 9.69 | 2.74 | 0.23 | ad4e350 |
| M2 ULTRA | METAL | large-v2-q8_0 | 1 | 1 | 208.11 | 9.37 | 2.60 | 0.21 | ad4e350 |
| M2 ULTRA | METAL | large-v2-dis | 1 | 1 | 172.72 | 1.12 | 0.26 | 0.02 | ad4e350 |
| M2 ULTRA | METAL | large-v3-turbo | 1 | 1 | 174.46 | 1.74 | 0.42 | 0.03 | ad4e350 |
| M2 ULTRA | METAL | large-v3-turbo-q5_0 | 1 | 1 | 205.78 | 1.54 | 0.42 | 0.04 | ad4e350 |
| M2 ULTRA | METAL | large-v3-turbo-q8_0 | 1 | 1 | 186.33 | 1.50 | 0.40 | 0.03 | ad4e350 |
## M4 Max
## Ryzen 9 5950X + RTX 2060
make -j && ./scripts/bench-all.sh 8 0 0
make -j && ./scripts/bench-all.sh 8
Running memcpy benchmark
memcpy: 12.36 GB/s (heat-up)
memcpy: 12.33 GB/s ( 1 thread)
memcpy: 12.38 GB/s ( 1 thread)
memcpy: 14.48 GB/s ( 2 thread)
memcpy: 15.00 GB/s ( 3 thread)
memcpy: 14.77 GB/s ( 4 thread)
memcpy: 14.60 GB/s ( 5 thread)
memcpy: 14.57 GB/s ( 6 thread)
memcpy: 14.34 GB/s ( 7 thread)
memcpy: 14.40 GB/s ( 8 thread)
sum: -5119998076.000000
Running ggml_mul_mat benchmark with 8 threads
64 x 64: Q4_0 3.1 GFLOPS (128 runs) | Q4_1 3.1 GFLOPS (128 runs)
64 x 64: Q5_0 3.0 GFLOPS (128 runs) | Q5_1 2.9 GFLOPS (128 runs) | Q8_0 3.1 GFLOPS (128 runs)
64 x 64: F16 3.0 GFLOPS (128 runs) | F32 3.0 GFLOPS (128 runs)
128 x 128: Q4_0 21.1 GFLOPS (128 runs) | Q4_1 20.3 GFLOPS (128 runs)
128 x 128: Q5_0 20.6 GFLOPS (128 runs) | Q5_1 20.4 GFLOPS (128 runs) | Q8_0 22.1 GFLOPS (128 runs)
128 x 128: F16 21.7 GFLOPS (128 runs) | F32 21.7 GFLOPS (128 runs)
256 x 256: Q4_0 105.7 GFLOPS (128 runs) | Q4_1 94.4 GFLOPS (128 runs)
256 x 256: Q5_0 94.8 GFLOPS (128 runs) | Q5_1 87.5 GFLOPS (128 runs) | Q8_0 107.2 GFLOPS (128 runs)
256 x 256: F16 95.1 GFLOPS (128 runs) | F32 94.3 GFLOPS (128 runs)
512 x 512: Q4_0 214.7 GFLOPS (128 runs) | Q4_1 189.8 GFLOPS (128 runs)
512 x 512: Q5_0 187.7 GFLOPS (128 runs) | Q5_1 176.2 GFLOPS (128 runs) | Q8_0 252.2 GFLOPS (128 runs)
512 x 512: F16 220.8 GFLOPS (128 runs) | F32 218.3 GFLOPS (128 runs)
1024 x 1024: Q4_0 333.7 GFLOPS (128 runs) | Q4_1 305.8 GFLOPS (128 runs)
1024 x 1024: Q5_0 283.2 GFLOPS (128 runs) | Q5_1 268.2 GFLOPS (125 runs) | Q8_0 394.1 GFLOPS (128 runs)
1024 x 1024: F16 355.0 GFLOPS (128 runs) | F32 313.0 GFLOPS (128 runs)
2048 x 2048: Q4_0 395.0 GFLOPS ( 23 runs) | Q4_1 380.6 GFLOPS ( 23 runs)
2048 x 2048: Q5_0 336.6 GFLOPS ( 20 runs) | Q5_1 318.4 GFLOPS ( 19 runs) | Q8_0 482.6 GFLOPS ( 29 runs)
2048 x 2048: F16 424.5 GFLOPS ( 25 runs) | F32 337.7 GFLOPS ( 20 runs)
4096 x 4096: Q4_0 412.8 GFLOPS ( 4 runs) | Q4_1 405.1 GFLOPS ( 3 runs)
4096 x 4096: Q5_0 346.0 GFLOPS ( 3 runs) | Q5_1 334.6 GFLOPS ( 3 runs) | Q8_0 502.6 GFLOPS ( 4 runs)
4096 x 4096: F16 412.5 GFLOPS ( 4 runs) | F32 274.0 GFLOPS ( 3 runs)
| CPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Ryzen 9 5950X | AVX2 | tiny | 8 | 0 | 195.29 | 1.57 | 0.51 | 0.26 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | tiny-q5_0 | 8 | 0 | 213.33 | 1.10 | 0.50 | 0.30 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | tiny-q5_1 | 8 | 0 | 219.38 | 1.18 | 0.53 | 0.32 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | base | 8 | 0 | 424.85 | 3.71 | 1.03 | 0.46 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | base-q5_0 | 8 | 0 | 473.61 | 1.81 | 0.82 | 0.52 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | base-q5_1 | 8 | 0 | 484.14 | 1.92 | 0.85 | 0.56 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | small | 8 | 0 | 1458.32 | 12.66 | 3.09 | 1.26 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | small-q5_0 | 8 | 0 | 1673.22 | 6.42 | 2.18 | 1.45 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | small-q5_1 | 8 | 0 | 1724.78 | 6.72 | 2.32 | 1.52 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | medium | 8 | 0 | 4333.87 | 36.80 | 8.56 | 3.37 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | medium-q5_0 | 8 | 0 | 5194.09 | 19.21 | 5.71 | 3.97 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | medium-q5_1 | 8 | 0 | 5450.39 | 20.01 | 5.99 | 4.17 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | medium-dis | 8 | 0 | 3995.19 | 5.08 | 1.21 | 0.55 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | large-v2 | 8 | 0 | 8056.16 | 69.74 | 16.11 | 6.13 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | large-v2-q5_0 | 8 | 0 | 9799.58 | 35.16 | 10.49 | 7.28 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | large-v2-q5_1 | 8 | 0 | ms | 36.74 | 11.02 | 7.65 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | large-v2-dis | 8 | 0 | 7490.03 | 7.40 | 1.70 | 0.72 | 22c96b4 |
memcpy: 57.23 GB/s (heat-up)
memcpy: 68.85 GB/s ( 1 thread)
memcpy: 70.00 GB/s ( 1 thread)
memcpy: 104.83 GB/s ( 2 thread)
memcpy: 124.54 GB/s ( 3 thread)
memcpy: 144.30 GB/s ( 4 thread)
memcpy: 141.24 GB/s ( 5 thread)
memcpy: 147.03 GB/s ( 6 thread)
memcpy: 147.18 GB/s ( 7 thread)
memcpy: 149.83 GB/s ( 8 thread)
sum: -5120001475.000000
WHISPER_CUDA=1 make -j && ./scripts/bench-all.sh 8 1 0
make -j && ./scripts/bench-all.sh 1
| GPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RTX 2060 | AVX2 CUDA | tiny | 8 | 0 | 12.54 | 0.93 | 0.29 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | tiny-q5_0 | 8 | 0 | 12.73 | 0.98 | 0.24 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | tiny-q5_1 | 8 | 0 | 12.72 | 0.99 | 0.24 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base | 8 | 0 | 24.14 | 1.28 | 0.41 | 0.03 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base-q5_0 | 8 | 0 | 24.58 | 1.38 | 0.35 | 0.03 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base-q5_1 | 8 | 0 | 24.58 | 1.37 | 0.35 | 0.03 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small | 8 | 0 | 74.70 | 2.91 | 0.84 | 0.07 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small-q5_0 | 8 | 0 | 76.12 | 2.84 | 0.77 | 0.08 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small-q5_1 | 8 | 0 | 76.14 | 2.84 | 0.76 | 0.08 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium | 8 | 0 | 200.69 | 6.46 | 1.83 | 0.17 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-q5_0 | 8 | 0 | 204.80 | 5.90 | 1.65 | 0.19 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-q5_1 | 8 | 0 | 205.61 | 5.85 | 1.61 | 0.19 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-dis | 8 | 0 | 186.17 | 0.86 | 0.24 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2 | 8 | 0 | 347.22 | 10.36 | 2.82 | 0.29 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-q5_0 | 8 | 0 | 357.06 | 8.81 | 2.58 | 0.34 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-q5_1 | 8 | 0 | 356.97 | 8.62 | 2.49 | 0.33 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-dis | 8 | 0 | 318.05 | 1.03 | 0.34 | 0.04 | 22c96b4 |
Running ggml_mul_mat benchmark with 1 threads
64 x 64: Q4_0 49.6 GFLOPS (128 runs) | Q4_1 46.8 GFLOPS (128 runs)
64 x 64: Q5_0 28.1 GFLOPS (128 runs) | Q5_1 26.8 GFLOPS (128 runs) | Q8_0 52.3 GFLOPS (128 runs)
64 x 64: F16 38.1 GFLOPS (128 runs) | F32 26.0 GFLOPS (128 runs)
128 x 128: Q4_0 87.6 GFLOPS (128 runs) | Q4_1 79.9 GFLOPS (128 runs)
128 x 128: Q5_0 44.7 GFLOPS (128 runs) | Q5_1 41.6 GFLOPS (128 runs) | Q8_0 98.9 GFLOPS (128 runs)
128 x 128: F16 64.1 GFLOPS (128 runs) | F32 35.4 GFLOPS (128 runs)
256 x 256: Q4_0 104.2 GFLOPS (128 runs) | Q4_1 92.3 GFLOPS (128 runs)
256 x 256: Q5_0 57.3 GFLOPS (128 runs) | Q5_1 51.5 GFLOPS (128 runs) | Q8_0 127.7 GFLOPS (128 runs)
256 x 256: F16 71.4 GFLOPS (128 runs) | F32 40.6 GFLOPS (128 runs)
512 x 512: Q4_0 109.5 GFLOPS (128 runs) | Q4_1 98.0 GFLOPS (128 runs)
512 x 512: Q5_0 62.4 GFLOPS (128 runs) | Q5_1 54.6 GFLOPS (128 runs) | Q8_0 135.0 GFLOPS (128 runs)
512 x 512: F16 82.6 GFLOPS (128 runs) | F32 44.6 GFLOPS (128 runs)
1024 x 1024: Q4_0 112.1 GFLOPS ( 53 runs) | Q4_1 100.9 GFLOPS ( 47 runs)
1024 x 1024: Q5_0 65.4 GFLOPS ( 31 runs) | Q5_1 56.7 GFLOPS ( 27 runs) | Q8_0 140.9 GFLOPS ( 66 runs)
1024 x 1024: F16 88.0 GFLOPS ( 41 runs) | F32 43.4 GFLOPS ( 21 runs)
2048 x 2048: Q4_0 113.4 GFLOPS ( 7 runs) | Q4_1 102.0 GFLOPS ( 6 runs)
2048 x 2048: Q5_0 67.1 GFLOPS ( 4 runs) | Q5_1 57.7 GFLOPS ( 4 runs) | Q8_0 142.7 GFLOPS ( 9 runs)
2048 x 2048: F16 84.6 GFLOPS ( 5 runs) | F32 37.5 GFLOPS ( 3 runs)
4096 x 4096: Q4_0 113.8 GFLOPS ( 3 runs) | Q4_1 102.0 GFLOPS ( 3 runs)
4096 x 4096: Q5_0 67.7 GFLOPS ( 3 runs) | Q5_1 58.0 GFLOPS ( 3 runs) | Q8_0 142.9 GFLOPS ( 3 runs)
4096 x 4096: F16 73.7 GFLOPS ( 3 runs) | F32 36.1 GFLOPS ( 3 runs)
WHISPER_CUDA=1 make -j && ./scripts/bench-all.sh 8 1 1
make -j && ./scripts/bench-all.sh 1 1 0
| GPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RTX 2060 | AVX2 CUDA | tiny | 8 | 1 | 7.21 | 0.76 | 0.29 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | tiny-q5_0 | 8 | 1 | 7.42 | 0.82 | 0.18 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | tiny-q5_1 | 8 | 1 | 7.38 | 0.82 | 0.18 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base | 8 | 1 | 13.49 | 1.04 | 0.36 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base-q5_0 | 8 | 1 | 13.94 | 1.13 | 0.26 | 0.03 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base-q5_1 | 8 | 1 | 13.94 | 1.14 | 0.26 | 0.03 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small | 8 | 1 | 42.81 | 2.33 | 0.69 | 0.05 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small-q5_0 | 8 | 1 | 44.43 | 2.25 | 0.59 | 0.06 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small-q5_1 | 8 | 1 | 44.11 | 2.24 | 0.58 | 0.06 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium | 8 | 1 | 115.47 | 5.17 | 1.45 | 0.11 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-q5_0 | 8 | 1 | 120.37 | 4.63 | 1.25 | 0.13 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-q5_1 | 8 | 1 | 120.28 | 4.55 | 1.21 | 0.13 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-dis | 8 | 1 | 101.69 | 0.75 | 0.20 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2 | 8 | 1 | 205.67 | 8.49 | 2.19 | 0.18 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-q5_0 | 8 | 1 | 214.07 | 6.88 | 1.94 | 0.22 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-q5_1 | 8 | 1 | 213.98 | 6.70 | 1.86 | 0.22 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-dis | 8 | 1 | 176.71 | 0.91 | 0.31 | 0.03 | 22c96b4 |
| CPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| M4 Max | METAL | tiny | 1 | 0 | 13.12 | 0.87 | 0.29 | 0.01 | ad4e3509 |
| M4 Max | METAL | tiny-q8_0 | 1 | 0 | 15.90 | 0.88 | 0.31 | 0.01 | ad4e3509 |
| M4 Max | METAL | base | 1 | 0 | 23.10 | 1.42 | 0.34 | 0.02 | ad4e3509 |
| M4 Max | METAL | base-q8_0 | 1 | 0 | 27.25 | 1.31 | 0.34 | 0.02 | ad4e3509 |
| M4 Max | METAL | small | 1 | 0 | 71.76 | 3.02 | 0.70 | 0.06 | ad4e3509 |
| M4 Max | METAL | small-q8_0 | 1 | 0 | 73.88 | 2.60 | 0.71 | 0.06 | ad4e3509 |
| M4 Max | METAL | medium | 1 | 0 | 208.22 | 6.94 | 1.55 | 0.16 | ad4e3509 |
| M4 Max | METAL | medium-q8_0 | 1 | 0 | 214.65 | 5.90 | 1.57 | 0.17 | ad4e3509 |
| M4 Max | METAL | large-v2 | 1 | 0 | 381.72 | 11.28 | 2.51 | 0.29 | ad4e3509 |
| M4 Max | METAL | large-v2-q8_0 | 1 | 0 | 394.97 | 8.90 | 2.45 | 0.30 | ad4e3509 |
make -j && ./scripts/bench-all.sh 1 1 1
| CPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| M4 Max | METAL | tiny | 1 | 1 | 15.22 | 0.89 | 0.26 | 0.01 | ad4e3509 |
| M4 Max | METAL | tiny-q8_0 | 1 | 1 | 14.70 | 0.86 | 0.26 | 0.01 | ad4e3509 |
| M4 Max | METAL | base | 1 | 1 | 25.33 | 1.36 | 0.30 | 0.02 | ad4e3509 |
| M4 Max | METAL | base-q8_0 | 1 | 1 | 21.27 | 1.31 | 0.30 | 0.02 | ad4e3509 |
| M4 Max | METAL | small | 1 | 1 | 58.43 | 2.78 | 0.60 | 0.05 | ad4e3509 |
| M4 Max | METAL | small-q8_0 | 1 | 1 | 60.26 | 2.39 | 0.60 | 0.05 | ad4e3509 |
| M4 Max | METAL | medium | 1 | 1 | 169.73 | 6.03 | 1.31 | 0.14 | ad4e3509 |
| M4 Max | METAL | medium-q8_0 | 1 | 1 | 176.61 | 4.99 | 1.31 | 0.14 | ad4e3509 |
| M4 Max | METAL | large-v2 | 1 | 1 | 316.18 | 9.60 | 2.08 | 0.24 | ad4e3509 |
| M4 Max | METAL | large-v2-q8_0 | 1 | 1 | 329.59 | 7.55 | 2.08 | 0.25 | ad4e3509 |
# V100
@ -271,28 +253,33 @@ WHISPER_CUDA=1 make -j && ./scripts/bench-all.sh 8 1 0
| GPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| V100 | AVX2 CUDA | tiny | 1 | 0 | 6.21 | 1.11 | 0.30 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | tiny-q5_1 | 1 | 0 | 5.97 | 1.10 | 0.26 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | base | 1 | 0 | 10.95 | 1.47 | 0.42 | 0.03 | 22c96b4 |
| V100 | AVX2 CUDA | base-q5_1 | 1 | 0 | 11.13 | 1.53 | 0.36 | 0.03 | 22c96b4 |
| V100 | AVX2 CUDA | small | 1 | 0 | 31.57 | 2.96 | 0.84 | 0.05 | 22c96b4 |
| V100 | AVX2 CUDA | small-q5_1 | 1 | 0 | 32.19 | 3.14 | 0.75 | 0.05 | 22c96b4 |
| V100 | AVX2 CUDA | medium | 1 | 0 | 85.88 | 6.49 | 1.80 | 0.10 | 22c96b4 |
| V100 | AVX2 CUDA | medium-q5_0 | 1 | 0 | 87.53 | 5.82 | 1.37 | 0.10 | 22c96b4 |
| V100 | AVX2 CUDA | large-v2 | 1 | 0 | 142.23 | 8.92 | 2.62 | 0.15 | 22c96b4 |
| V100 | AVX2 CUDA | tiny | 8 | 0 | 6.15 | 1.02 | 0.30 | 0.01 | ad4e3509 |
| V100 | AVX2 CUDA | tiny-q5_1 | 8 | 0 | 5.92 | 0.96 | 0.25 | 0.01 | ad4e3509 |
| V100 | AVX2 CUDA | base | 8 | 0 | 10.60 | 1.43 | 0.43 | 0.02 | ad4e3509 |
| V100 | AVX2 CUDA | base-q5_1 | 8 | 0 | 10.80 | 1.37 | 0.36 | 0.02 | ad4e3509 |
| V100 | AVX2 CUDA | small | 8 | 0 | 31.83 | 2.82 | 0.87 | 0.04 | ad4e3509 |
| V100 | AVX2 CUDA | small-q5_1 | 8 | 0 | 31.88 | 2.68 | 0.72 | 0.04 | ad4e3509 |
| V100 | AVX2 CUDA | medium | 8 | 0 | 81.30 | 6.02 | 1.81 | 0.09 | ad4e3509 |
| V100 | AVX2 CUDA | medium-q5_0 | 8 | 0 | 83.21 | 5.44 | 1.41 | 0.10 | ad4e3509 |
| V100 | AVX2 CUDA | large-v2 | 8 | 0 | 134.81 | 8.64 | 2.69 | 0.14 | ad4e3509 |
| V100 | AVX2 CUDA | large-v2-q5_0 | 8 | 0 | 138.95 | 7.57 | 2.04 | 0.15 | ad4e3509 |
| V100 | AVX2 CUDA | large-v3-turbo | 8 | 0 | 124.42 | 1.37 | 0.43 | 0.02 | ad4e3509 |
| V100 | AVX2 CUDA | large-v3-turbo-q5_0 | 8 | 0 | 127.81 | 1.13 | 0.32 | 0.03 | ad4e3509 |
WHISPER_CUDA=1 make -j && ./scripts/bench-all.sh 8 1 1
| GPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| V100 | AVX2 CUDA | tiny | 1 | 1 | 3.96 | 0.82 | 0.24 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | tiny-q5_1 | 1 | 1 | 4.05 | 0.85 | 0.18 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | base | 1 | 1 | 7.21 | 1.16 | 0.36 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | base-q5_1 | 1 | 1 | 7.39 | 1.21 | 0.26 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | small | 1 | 1 | 19.81 | 2.41 | 0.71 | 0.04 | 22c96b4 |
| V100 | AVX2 CUDA | small-q5_1 | 1 | 1 | 20.50 | 2.31 | 0.51 | 0.04 | 22c96b4 |
| V100 | AVX2 CUDA | medium | 1 | 1 | 56.02 | 4.89 | 1.44 | 0.07 | 22c96b4 |
| V100 | AVX2 CUDA | medium-q5_0 | 1 | 1 | 57.85 | 4.73 | 1.09 | 0.08 | 22c96b4 |
| V100 | AVX2 CUDA | large-v2 | 1 | 1 | 92.73 | 7.18 | 2.14 | 0.10 | 22c96b4 |
| V100 | AVX2 CUDA | tiny | 8 | 1 | 4.01 | 0.90 | 0.25 | 0.01 | ad4e3509 |
| V100 | AVX2 CUDA | tiny-q5_1 | 8 | 1 | 4.12 | 0.88 | 0.18 | 0.01 | ad4e3509 |
| V100 | AVX2 CUDA | base | 8 | 1 | 7.00 | 1.30 | 0.35 | 0.01 | ad4e3509 |
| V100 | AVX2 CUDA | base-q5_1 | 8 | 1 | 7.22 | 1.21 | 0.26 | 0.02 | ad4e3509 |
| V100 | AVX2 CUDA | small | 8 | 1 | 18.68 | 2.39 | 0.69 | 0.03 | ad4e3509 |
| V100 | AVX2 CUDA | small-q5_1 | 8 | 1 | 19.38 | 2.32 | 0.51 | 0.03 | ad4e3509 |
| V100 | AVX2 CUDA | medium | 8 | 1 | 53.17 | 5.15 | 1.45 | 0.06 | ad4e3509 |
| V100 | AVX2 CUDA | medium-q5_0 | 8 | 1 | 55.09 | 4.64 | 1.05 | 0.07 | ad4e3509 |
| V100 | AVX2 CUDA | large-v2 | 8 | 1 | 85.77 | 7.57 | 2.19 | 0.10 | ad4e3509 |
| V100 | AVX2 CUDA | large-v2-q5_0 | 8 | 1 | 89.24 | 6.48 | 1.48 | 0.11 | ad4e3509 |
| V100 | AVX2 CUDA | large-v3-turbo | 8 | 1 | 75.56 | 1.25 | 0.37 | 0.02 | ad4e3509 |
| V100 | AVX2 CUDA | large-v3-turbo-q5_0 | 8 | 1 | 78.48 | 1.01 | 0.24 | 0.02 | ad4e3509 |