gpu_id int64 195 11.9k | test_name stringlengths 8 106 | score float64 0.41 180B | unit stringclasses 28
values | source__name stringclasses 3
values |
|---|---|---|---|---|
11,889 | NCNN: Target: Vulkan GPU - Model: shufflenet-v2 | 3.65 | ms | OpenBenchmarking: Hashcat |
9,882 | Llama.cpp: Backend: Vulkan - Model: MiniMax-M2.5-UD-TQ1_0 - Test: Text Generation 128 | 46.2 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: Vulkan - Model: GLM-4.7-Flash-IQ4_XS - Test: Prompt Processing 512 | 953.45 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: CPU BLAS - Model: MiniMax-M2.5-UD-TQ1_0 - Test: Prompt Processing 1024 | 30.14 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: CPU BLAS - Model: gpt-oss-20b-Q8_0 - Test: Prompt Processing 2048 | 124.31 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: AMD ROCm HIP - Model: Qwen3-8B-Q8_0 - Test: Prompt Processing 2048 | 1,278.18 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: CPU BLAS - Model: MiniMax-M2.5-UD-TQ1_0 - Test: Prompt Processing 512 | 30.19 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: AMD ROCm HIP - Model: Qwen3-8B-Q8_0 - Test: Prompt Processing 1024 | 1,337.74 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: CPU BLAS - Model: MiniMax-M2.5-UD-TQ1_0 - Test: Text Generation 128 | 19.7 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: CPU BLAS - Model: GLM-4.7-Flash-IQ4_XS - Test: Text Generation 128 | 37.59 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: Vulkan - Model: MiniMax-M2.5-UD-TQ1_0 - Test: Prompt Processing 2048 | 212.58 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: AMD ROCm HIP - Model: gpt-oss-20b-Q8_0 - Test: Text Generation 128 | 71.45 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: Vulkan - Model: GLM-4.7-Flash-IQ4_XS - Test: Prompt Processing 1024 | 914.59 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: CPU BLAS - Model: MiniMax-M2.5-UD-TQ1_0 - Test: Prompt Processing 2048 | 28.95 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: AMD ROCm HIP - Model: gpt-oss-20b-Q8_0 - Test: Prompt Processing 1024 | 1,721.44 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: AMD ROCm HIP - Model: GLM-4.7-Flash-IQ4_XS - Test: Text Generation 128 | 59.44 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: CPU BLAS - Model: GLM-4.7-Flash-IQ4_XS - Test: Prompt Processing 2048 | 83.29 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: CPU BLAS - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Text Generation 128 | 14.25 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
11,889 | NCNN: Target: Vulkan GPU - Model: mnasnet | 4.97 | ms | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU - Model: efficientnet-b0 | 7.94 | ms | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU - Model: blazeface | 2.32 | ms | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU - Model: googlenet | 8.95 | ms | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU - Model: vgg16 | 37.44 | ms | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU - Model: resnet18 | 6.25 | ms | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU - Model: alexnet | 6.21 | ms | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU - Model: resnet50 | 14.33 | ms | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU - Model: yolov4-tiny | 29.92 | ms | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU - Model: squeezenet_ssd | 9.84 | ms | OpenBenchmarking: Hashcat |
9,882 | Llama.cpp: Backend: Vulkan - Model: GLM-4.7-Flash-IQ4_XS - Test: Prompt Processing 2048 | 834.67 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
11,889 | NCNN: Target: Vulkan GPU - Model: regnety_400m | 23.62 | ms | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU - Model: vision_transformer | 77.23 | ms | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU - Model: FastestDet | 5.21 | ms | OpenBenchmarking: Hashcat |
11,889 | Blender: Blend File: Fishy Cat - Compute: NVIDIA CUDA | 20.6 | Seconds | OpenBenchmarking: Hashcat |
11,889 | Blender: Blend File: Junkshop - Compute: NVIDIA OptiX | 8.28 | Seconds | OpenBenchmarking: Hashcat |
11,889 | Blender: Blend File: Barbershop - Compute: NVIDIA CUDA | 78.09 | Seconds | OpenBenchmarking: Hashcat |
11,889 | NCNN: Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 | 4.05 | ms | OpenBenchmarking: Hashcat |
10,810 | LLM Inference: MLPerf: llama2-70b-99.9 (fp8) | 1,945.775 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: llama2-70b-99.9 (fp8) | 2,444.3375 | tokens/s | LLM Inference |
10,810 | LLM Inference: MLPerf: mixtral-8x7b (fp8) | 6,975.0375 | tokens/s | LLM Inference |
10,335 | Llama.cpp: Backend: CPU BLAS - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Prompt Processing 512 | 84.74 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
3,860 | LLM Inference: MLPerf: llama2-70b-99.9 (UNSET) | 1,982.9625 | tokens/s | LLM Inference |
10,810 | LLM Inference: MLPerf: llama2-70b-99.9 (Dummy) | 3,596.275 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: llama2-70b-99.9 (fp16) | 3,552.625 | tokens/s | LLM Inference |
3,860 | LLM Inference: MLPerf: llama3.1-405b (fp16) | 34.831125 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: mixtral-8x7b (fp8) | 7,131.8 | tokens/s | LLM Inference |
3,860 | LLM Inference: MLPerf: mixtral-8x7b (fp8) | 5,975.2375 | tokens/s | LLM Inference |
11,342 | LLM Inference: MLPerf: llama3.1-405b (mxfp4) | 252.38 | tokens/s | LLM Inference |
9,882 | Llama.cpp: Backend: CPU BLAS - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 2048 | 113.19 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: AMD ROCm HIP - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Text Generation 128 | 26.29 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: AMD ROCm HIP - Model: GLM-4.7-Flash-IQ4_XS - Test: Prompt Processing 1024 | 1,079.59 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
11,342 | LLM Inference: MLPerf: llama2-70b-99 (mxfp4) | 10,128.875 | tokens/s | LLM Inference |
9,882 | Llama.cpp: Backend: AMD ROCm HIP - Model: MiniMax-M2.5-UD-TQ1_0 - Test: Prompt Processing 512 | 237.79 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: AMD ROCm HIP - Model: MiniMax-M2.5-UD-TQ1_0 - Test: Prompt Processing 1024 | 236.95 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: AMD ROCm HIP - Model: GLM-4.7-Flash-IQ4_XS - Test: Prompt Processing 2048 | 964.38 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: AMD ROCm HIP - Model: MiniMax-M2.5-UD-TQ1_0 - Test: Prompt Processing 2048 | 230.31 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: Vulkan - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Text Generation 128 | 27.44 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
9,882 | Llama.cpp: Backend: CPU BLAS - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 1024 | 120.17 | Tokens Per Second | OpenBenchmarking: Llama.cpp |
3,860 | LLM Inference: MLPerf: llama2-70b-99.9 (fp8) | 1,056.8925 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: llama3.1-8b (fp8) | 5,161.375 | tokens/s | LLM Inference |
3,860 | LLM Inference: MLPerf: llama3.1-405b (UNSET) | 30.431125 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: gptj-99.9 (fp8) | 2,562.725 | tokens/s | LLM Inference |
11,342 | LLM Inference: MLPerf: llama2-70b-99.9 (mxfp4) | 10,128.875 | tokens/s | LLM Inference |
3,860 | LLM Inference: MLPerf: llama2-70b-99.9 (fp16) | 1,739.525 | tokens/s | LLM Inference |
10,810 | LLM Inference: MLPerf: llama2-70b-99 (Dummy) | 3,596.275 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: llama2-70b-99.9 (UNSET) | 3,534.05 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: llama2-70b-99 (fp8) | 2,444.3375 | tokens/s | LLM Inference |
1,819 | LLM Inference: llama.cpp Bench: llama 7B Q4_0 (Q4_0) | 14.27 | tokens/s | LLM Inference |
11,889 | Blender: Blend File: Fishy Cat - Compute: NVIDIA OptiX | 8.45 | Seconds | OpenBenchmarking: Hashcat |
11,889 | Blender: Blend File: Barbershop - Compute: NVIDIA OptiX | 46.33 | Seconds | OpenBenchmarking: Hashcat |
11,889 | MandelGPU: OpenCL Device: GPU | 831,796,323.4 | Samples/sec | OpenBenchmarking: Hashcat |
11,889 | NeatBench: Acceleration: GPU | 29.97 | FPS | OpenBenchmarking: Hashcat |
11,743 | Hashcat: Benchmark: MD5 | 105,100,000,000 | H/s | OpenBenchmarking: Hashcat |
11,743 | Hashcat: Benchmark: NTLM | 179,533,333,333 | H/s | OpenBenchmarking: Hashcat |
11,743 | Hashcat: Benchmark: SHA1 | 38,457,866,667 | H/s | OpenBenchmarking: Hashcat |
11,743 | Hashcat: Benchmark: 7-Zip | 1,767,267 | H/s | OpenBenchmarking: Hashcat |
11,743 | Hashcat: Benchmark: bcrypt | 133,400 | H/s | OpenBenchmarking: Hashcat |
11,743 | Hashcat: Benchmark: SHA-256 | 13,393,933,333 | H/s | OpenBenchmarking: Hashcat |
11,743 | Hashcat: Benchmark: SHA-512 | 4,443,333,333 | H/s | OpenBenchmarking: Hashcat |
11,743 | Hashcat: Benchmark: LastPass | 55,862 | H/s | OpenBenchmarking: Hashcat |
10,810 | LLM Inference: MLPerf: llama2-70b-99 (fp8) | 1,945.775 | tokens/s | LLM Inference |
11,445 | LLM Inference: llama.cpp Bench: llama 7B Q4_0 (Q4_0) | 287.29 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-70m (unquantized) | 159.813327 | tokens/s | LLM Inference |
11,557 | LLM Inference: MLPerf: llama2-70b-99.9 (fp8) | 2,106.075 | tokens/s | LLM Inference |
199 | LLM Inference: MLPerf: llama2-70b-99.9 (fp8) | 1,222.48 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: distilgpt2 (gptq) | 187.98065 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt2 (unquantized) | 101.116195 | tokens/s | LLM Inference |
196 | LLM Inference: MLPerf: mixtral-8x7b (fp8) | 6,362 | tokens/s | LLM Inference |
11,557 | LLM Inference: MLPerf: gptj-99 (fp8) | 1,693.4675 | tokens/s | LLM Inference |
11,557 | LLM Inference: MLPerf: gptj-99.9 (fp8) | 1,693.4675 | tokens/s | LLM Inference |
196 | LLM Inference: MLPerf: gptj-99 (fp8) | 2,414.8625 | tokens/s | LLM Inference |
199 | LLM Inference: MLPerf: llama2-70b-99 (fp8) | 1,222.48 | tokens/s | LLM Inference |
10,914 | LLM Inference: MLPerf: deepseek-r1 (fp4) | 2,327.472222 | tokens/s | LLM Inference |
11,557 | LLM Inference: MLPerf: llama2-70b-99 (fp8) | 1,668.9 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: distilgpt2 (bnb) | 62.90222 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-160m (gptq) | 89.079485 | tokens/s | LLM Inference |
11,335 | LLM Inference: MLPerf: llama3.1-8b (fp4) | 5,757.5 | tokens/s | LLM Inference |
11,335 | LLM Inference: MLPerf: mixtral-8x7b (fp8) | 3,766.7875 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: distilgpt2 (unquantized) | 181.545778 | tokens/s | LLM Inference |
8,001 | LLM Inference: MLPerf: llama3.1-8b (UINT4) | 1,337.1125 | tokens/s | LLM Inference |
8,001 | LLM Inference: MLPerf: llama2-70b-99.9 (UINT4) | 527.5125 | tokens/s | LLM Inference |
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