April 2023 AMD Zen 4 Linux Benchmarks

Benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2303304-PTS-EARLYUPP87
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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
Web Browsers 1 Tests
Chess Test Suite 3 Tests
Timed Code Compilation 6 Tests
C/C++ Compiler Tests 15 Tests
Compression Tests 2 Tests
CPU Massive 27 Tests
Creator Workloads 23 Tests
Cryptography 2 Tests
Database Test Suite 4 Tests
Encoding 9 Tests
Fortran Tests 3 Tests
Game Development 4 Tests
HPC - High Performance Computing 19 Tests
Imaging 3 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 7 Tests
Molecular Dynamics 7 Tests
MPI Benchmarks 5 Tests
Multi-Core 31 Tests
NVIDIA GPU Compute 5 Tests
Intel oneAPI 6 Tests
OpenMPI Tests 9 Tests
Productivity 2 Tests
Programmer / Developer System Benchmarks 10 Tests
Python 2 Tests
Raytracing 2 Tests
Renderers 4 Tests
Scientific Computing 10 Tests
Server 9 Tests
Server CPU Tests 19 Tests
Single-Threaded 4 Tests
Video Encoding 8 Tests
Common Workstation Benchmarks 3 Tests

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  Test
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Ryzen 5 7600X
March 28 2023
  1 Day, 4 Hours, 15 Minutes
Ryzen 7 7700X
March 26 2023
  23 Hours, 32 Minutes
Ryzen 9 7900X
March 27 2023
  1 Day, 54 Minutes
Ryzen 9 7900X3D
March 25 2023
  1 Day, 51 Minutes
Ryzen 9 7950X
March 24 2023
  21 Hours, 55 Minutes
Ryzen 9 7950X3D
March 29 2023
  1 Day, 3 Hours, 55 Minutes
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  1 Day, 1 Hour, 14 Minutes

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April 2023 AMD Zen 4 Linux Benchmarks Benchmarks by Michael Larabel for a future article. ,,"Ryzen 5 7600X","Ryzen 7 7700X","Ryzen 9 7900X","Ryzen 9 7900X3D","Ryzen 9 7950X","Ryzen 9 7950X3D" Processor,,AMD Ryzen 5 7600X 6-Core @ 4.70GHz (6 Cores / 12 Threads),AMD Ryzen 7 7700X 8-Core @ 4.50GHz (8 Cores / 16 Threads),AMD Ryzen 9 7900X 12-Core @ 4.70GHz (12 Cores / 24 Threads),AMD Ryzen 9 7900X3D 12-Core @ 4.40GHz (12 Cores / 24 Threads),AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads),AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads) Motherboard,,ASUS ROG CROSSHAIR X670E HERO (9927 BIOS),ASUS ROG CROSSHAIR X670E HERO (9927 BIOS),ASUS ROG CROSSHAIR X670E HERO (9927 BIOS),ASUS ROG CROSSHAIR X670E HERO (9927 BIOS),ASUS ROG CROSSHAIR X670E HERO (9927 BIOS),ASUS ROG CROSSHAIR X670E HERO (9927 BIOS) Chipset,,AMD Device 14d8,AMD Device 14d8,AMD Device 14d8,AMD Device 14d8,AMD Device 14d8,AMD Device 14d8 Memory,,32GB,32GB,32GB,32GB,32GB,32GB Disk,,Western Digital WD_BLACK SN850X 1000GB + 2000GB,Western Digital WD_BLACK SN850X 1000GB + 2000GB,Western Digital WD_BLACK SN850X 1000GB + 2000GB,Western Digital WD_BLACK SN850X 1000GB + 2000GB,Western Digital WD_BLACK SN850X 1000GB + 2000GB,Western Digital WD_BLACK SN850X 1000GB + 2000GB Graphics,,AMD Radeon RX 7900 XTX (2304/1249MHz),AMD Radeon RX 7900 XTX (2304/1249MHz),AMD Radeon RX 7900 XTX (2304/1249MHz),AMD Radeon RX 7900 XTX (2304/1249MHz),AMD Radeon RX 7900 XTX (2304/1249MHz),AMD Radeon RX 7900 XTX (2304/1249MHz) Audio,,AMD Device ab30,AMD Device ab30,AMD Device ab30,AMD Device ab30,AMD Device ab30,AMD Device ab30 Monitor,,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U Network,,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS,,Ubuntu 23.04,Ubuntu 23.04,Ubuntu 23.04,Ubuntu 23.04,Ubuntu 23.04,Ubuntu 23.04 Kernel,,6.2.8-060208-generic (x86_64),6.2.8-060208-generic (x86_64),6.2.8-060208-generic (x86_64),6.2.8-060208-generic (x86_64),6.2.8-060208-generic (x86_64),6.2.8-060208-generic (x86_64) Desktop,,GNOME Shell 44.0,GNOME Shell 44.0,GNOME Shell 44.0,GNOME Shell 44.0,GNOME Shell 44.0,GNOME Shell 44.0 Display Server,,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland OpenGL,,4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49),4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49),4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49),4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49),4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49),4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49) OpenCL,,OpenCL 2.1 AMD-APP (3513.0),OpenCL 2.1 AMD-APP (3513.0),OpenCL 2.1 AMD-APP (3513.0),OpenCL 2.1 AMD-APP (3513.0),OpenCL 2.1 AMD-APP (3513.0),OpenCL 2.1 AMD-APP (3513.0) Compiler,,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0 File-System,,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,3840x2160,3840x2160,3840x2160,3840x2160,3840x2160,3840x2160 ,,"Ryzen 5 7600X","Ryzen 7 7700X","Ryzen 9 7900X","Ryzen 9 7900X3D","Ryzen 9 7950X","Ryzen 9 7950X3D" "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,23979.53,31973.01,47474.81,44106.93,62992.35,58628.40 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,4401318.96,5845633.35,2186099.11,2261408.13,2868842.43,1987512.19 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,23168.83,30478.11,45586.84,41808.60,61633.57,59420.40 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,50108.06,66937.51,99161.50,92493.91,130771.71,123807.35 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,55522.03,73951.14,109496.96,102534.49,146978.58,138158.81 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,3512.67,4667.35,6023.67,5447.10,7725.73,7102.84 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,3332864.04,4388025.24,6683204.62,6210682.93,8930648.88,8280952.54 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,14019104657,18758255480,27774892630,25333420457,36876473217,34083061387 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,4521572843,6045361797,8954360150,8077182850,11877896243,10865945407 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,53007348987,70980755090,104393123613,97762009177,137901393417,130800049447 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,104009854157,138903774913,204135876927,188194158000,267753296510,251539600997 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,89148846343,118868213123,174875900677,161867199010,230018087593,216581866383 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,37810232343,50488170633,74236623167,69423214137,98014059090,92910818527 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,876.16,1011.83,943.85,861.74,991.48,913.12 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,275.71,343.08,368.45,366.43,395.58,402.89 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,1199.85,1440.05,1382.59,1269.55,1509.37,1409.20 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,800.69,865.98,839.58,789.57,865.98,831.74 "FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,311.68,313.66,314.12,292.31,318.24,300.57 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,174.70,186.28,193.02,177.25,197.63,182.49 "FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,18.47,18.86,18.57,17.60,18.88,18.03 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,31.13,33.51,35.97,32.68,37.51,34.52 "FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,70.95,72.20,71.52,67.52,72.66,68.73 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,64.69,69.04,73.54,67.31,77.15,70.80 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,70.75,72.30,71.47,67.82,72.78,69.08 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,64.75,69.09,73.66,67.21,77.12,71.08 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,5.63,7.54,11.01,10.08,14.45,13.51 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,3.11,4.15,6.02,5.63,7.65,7.34 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,3.13,4.16,5.93,5.52,7.54,7.31 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,404.65,486.21,738.48,791.99,771.37,1012.45 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,10.84,14.82,21.44,19.40,28.41,26.10 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,730.50,942.04,1398.20,1254.43,1855.48,1707.05 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,556.39,745.06,1093.65,993.11,1447.01,1337.36 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,63.38,82.80,111.07,106.64,136.83,136.13 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1067.99,1491.00,2195.49,1951.94,2894.70,2616.10 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,631.71,887.85,1273.29,1183.17,1670.00,1666.23 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,16786.84,23143.21,34149.69,30248.71,44976.48,40616.95 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,8561.50,13428.54,19880.37,17588.98,26125.90,23606.79 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,12.5386,16.5331,24.3028,23.8961,31.8736,31.8849 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,13.3891,17.6611,26.1094,25.5336,34.2794,34.0717 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,13.7568,17.8604,25.9218,25.8379,32.7023,33.7095 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,12.4454,16.0669,23.2460,23.3176,29.0788,30.3098 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,15.7380,20.3540,29.0614,29.5678,34.9516,37.2377 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,13.4345,17.3648,24.7652,25.1963,29.8608,31.7551 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.207,3.965,5.093,4.604,5.714,5.292 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,38.905,49.125,64.759,59.527,74.792,70.018 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,131.317,157.556,196.117,189.398,217.159,213.524 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,140.877,168.736,202.868,193.063,222.224,214.840 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,20.49,26.56,34.76,31.20,46.30,41.84 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,21.68,28.16,37.15,33.45,50.92,46.36 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,26.35,33.93,43.72,39.27,59.81,54.45 "VP9 libvpx Encoding - Speed: Speed 0 - Input: Bosphorus 4K (FPS)",HIB,8.74,11.61,10.82,9.84,10.88,9.99 "VP9 libvpx Encoding - Speed: Speed 5 - Input: Bosphorus 4K (FPS)",HIB,20.50,28.51,24.07,21.71,23.67,22.09 "VP9 libvpx Encoding - Speed: Speed 0 - Input: Bosphorus 1080p (FPS)",HIB,17.25,22.37,21.32,19.33,21.82,19.78 "VP9 libvpx Encoding - Speed: Speed 5 - Input: Bosphorus 1080p (FPS)",HIB,49.97,49.75,43.64,39.10,43.76,40.13 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,4.059,5.081,6.691,6.088,7.805,7.218 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,8.791,10.652,13.485,12.365,15.133,14.193 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,14.130,17.353,21.744,19.729,23.817,21.977 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,31.940,37.760,43.087,39.954,44.948,42.236 "x264 - Video Input: Bosphorus 4K (FPS)",HIB,33.33,43.40,61.51,56.36,77.15,71.98 "x264 - Video Input: Bosphorus 1080p (FPS)",HIB,144.60,187.73,253.73,230.39,297.38,268.52 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,18.85,18.57,30.48,28.82,35.95,34.44 "x265 - Video Input: Bosphorus 1080p (FPS)",HIB,86.31,91.94,112.67,102.71,122.99,112.99 "simdjson - Throughput Test: Kostya (GB/s)",HIB,5.87,5.93,6.05,5.96,5.89,5.55 "simdjson - Throughput Test: TopTweet (GB/s)",HIB,9.62,9.75,9.41,9.81,9.89,8.85 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,1.83,1.84,1.78,1.68,1.83,1.71 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,8.33,8.44,8.21,7.32,8.41,7.59 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,9.96,10.13,9.80,8.97,10.05,9.23 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,4.176715,5.679511,8.579462,8.006449,11.190906,11.092860 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,151.109,153.114,174.828,188.842,167.142,185.999 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,9.72557,14.2480,10.93777,9.60420,11.51373,12.1775 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,14.77027,18.5442,16.2825,17.6404,19.3981,16.2256 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,766.180,813.892,1038.026,895.199,1178.41,1109.306 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,1.550878,2.17350,2.29288,2.74788,3.65033,3.62402 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,28.8702,32.5150,39.5055,28.0665,37.7646,40.8059 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,321.553,380.866,448.400,428.145,467.034,475.362 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,97.7370,152.924,145.660,138.585,232.154,161.965 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,63.0773,66.6702,61.1183,60.4012,62.7902,65.6112 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,179,230,328,329,409,407 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,3.11493,4.12599,6.04630,5.63374,7.99661,7.57160 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,3.10974,4.10773,6.02533,5.62332,7.94518,7.55098 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,142.440,166.642,209.627,199.156,249.600,228.753 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,3.15250,4.17227,6.14919,5.79455,8.14907,7.70353 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,3.07215,4.08852,6.00713,5.70237,7.92510,7.56975 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,3.66513,4.86544,7.18054,6.69392,9.52467,8.97591 "ASKAP - Test: Hogbom Clean OpenMP (Iterations/sec)",HIB,379.873,423.733,439.079,552.493,442.500,547.676 "Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,543.2,551.0,862.8,1031.0,836.7,1036.7 "Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,2359.7,2389.3,2397.8,2343.7,2369.4,2404.2 "Zstd Compression - Compression Level: 12 - Compression Speed (MB/s)",HIB,182.3,195.6,248.6,299.5,254.7,299.9 "Zstd Compression - Compression Level: 12 - Decompression Speed (MB/s)",HIB,2451.6,2465.4,2419.6,2426.5,2463.9,2488.2 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,20.4,20.5,23.4,25.2,23.5,25.3 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,2108.2,2154.7,2175.5,2062.8,2124.5,1981.1 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,523.5,561.1,808.9,941.8,856.4,1001.3 "Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,2396.9,2413.6,2421.9,2369.8,2392.6,2410.0 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,11.7,11.6,12.8,14.4,12.9,15.0 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1941.4,2028.1,1953.1,1860.9,2012.2,1897.0 "ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,1687.08,1784.98,2009.50,2114.75,2148.45,2323.16 "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,1916.92,2122.35,2766.95,2927.90,2838.93,2960.62 "ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,2942.63,3385.47,4992.69,6033.85,6075.77,6888.46 "ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,5145.57,4098.16,5675.3,10186.42,6111.41,11503.2 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,91081,113954,156647,154925,183767,188382 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,70465,93559,137455,130797,183712,175804 "WebP Image Encode - Encode Settings: Default (MP/s)",HIB,27.53,27.91,27.47,26.34,27.92,27.55 "WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,17.09,17.38,17.58,16.88,17.28,17.24 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,5.39,5.48,5.50,5.27,5.40,5.46 "ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,5248.85,5788.76,10092.1,10008.01,10710,11010.7 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,6348.28,6787.11,11693.2,12175.6,11577.5,12698.2 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,1596,1685,1909,1885,1895,1894 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,1484,1539,1744,1772,1768,1857 "Crafty - Elapsed Time (Nodes/s)",HIB,14830582,15125659,14510338,13447511,15431905,14566694 "Stockfish - Total Time (Nodes/s)",HIB,29952040,39398726,55546155,53336421,76739318,73174480 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,1.192,1.547,2.268,2.283,2.608,2.694 "RocksDB - Test: Random Read (Op/s)",HIB,57784648,76824213,114652935,106531978,150553441,142423198 "RocksDB - Test: Update Random (Op/s)",HIB,727188,837216,844521,809930,989730,958852 "RocksDB - Test: Read While Writing (Op/s)",HIB,2157637,2853572,3413765,3273100,4368949,4284589 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,2113490,2675448,2820528,2694347,3473140,3342984 "Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2418021.17,3210247.22,3566082.94,3471647.55,4054196.00,3938540.03 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,2388901.55,3162482.24,3374511.84,3183961.70,3690970.44,3564857.90 "Memcached - Set To Get Ratio: 1:5 (Ops/sec)",HIB,2762729.11,3591302.95,3428414.42,3261982.16,4117576.04,3953637.22 "Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2439025.75,3221061.70,3646277.88,3510381.43,4124930.57,3982059.12 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,2391691.96,3147488.47,3381093.61,3179844.53,3693334.62,3554398.24 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,215.22,229.19,255.89,268.00,247.72,284.21 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,230.06,251.53,281.89,301.88,275.51,312.03 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,230.63,252.60,286.69,303.04,276.80,314.37 "John The Ripper - Test: bcrypt (Real C/S)",HIB,17935,23864,34984,32480,46940,43916 "John The Ripper - Test: WPA PSK (Real C/S)",HIB,67935,91048,132237,122794,176569,165441 "John The Ripper - Test: Blowfish (Real C/S)",HIB,17882,23808,34892,32441,46733,43921 "John The Ripper - Test: HMAC-SHA512 (Real C/S)",HIB,94463333,124776000,163046000,149377333,202082333,188100333 "John The Ripper - Test: MD5 (Real C/S)",HIB,1797667,2391667,3507667,3076333,4662667,4172667 "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 512 (Render Ratio)",HIB,2.251450,3.157817,3.999246,3.684021,5.558666,5.202820 "Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 512 (Render Ratio)",HIB,1.488872,2.071484,2.627352,2.456949,3.560690,3.355091 "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 1024 (Render Ratio)",HIB,2.314591,3.289405,4.225190,3.876099,5.962995,5.627904 "Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 1024 (Render Ratio)",HIB,1.542010,2.165827,2.803825,2.560802,3.904150,3.696535 "nginx - Connections: 200 (Reqs/sec)",HIB,81518.68,109607.62,148467.63,135184.24,188361.90,179232.78 "nginx - Connections: 500 (Reqs/sec)",HIB,78427.06,104108.32,142134.15,132147.38,173022.34,175066.40 "nginx - Connections: 1000 (Reqs/sec)",HIB,74596.44,98019.87,133655.23,129547.31,152268.17,168262.81 "nginx - Connections: 100 (Reqs/sec)",HIB,83186.07,110819.10,147810.43,134927.90,188405.16,177681.07 "Apache HTTP Server - Concurrent Requests: 100 (Reqs/sec)",HIB,157972.36,198848.67,156497.14,185877.55,,164236.15 "Apache HTTP Server - Concurrent Requests: 200 (Reqs/sec)",HIB,164764.69,202785.74,211000.52,204878.18,,204101.12 "Apache HTTP Server - Concurrent Requests: 500 (Reqs/sec)",HIB,137368.84,161549.06,158235.02,177117.15,,230091.81 "Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,117763.77,134983.40,140125.35,163211.39,,223853.85 "Selenium - Benchmark: Speedometer - Browser: Firefox (Runs/min)",HIB,311.2,307.4,304.6,291.5,304.8,294.8 "Selenium - Benchmark: Speedometer - Browser: Google Chrome (Runs/min)",HIB,395,402,395,379,399,382 "Numpy Benchmark - (Score)",HIB,946.66,964.34,934.87,924.61,945.33,945.79 "PHPBench - PHP Benchmark Suite (Score)",HIB,1216655,1243445,1262058,1207500,1257538,1226301 "Selenium - Benchmark: StyleBench - Browser: Firefox (Score)",HIB,,,,,, "Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,208.299,207.586,203.574,189.722,,198.861 "Selenium - Benchmark: StyleBench - Browser: Google Chrome (Score)",HIB,,,,,, "Selenium - Benchmark: Jetstream 2 - Browser: Google Chrome (Score)",HIB,360.051,366.437,346.165,322.628,347.396,329.349 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,6019.2,8056.8,11924.1,10345.0,15483.5,13817.5 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min)",HIB,1498.88,1510.77,1462.04,1397.77,1472.06,1424.88 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min)",HIB,43360.594265642,41450.645005243,35526.673898113,34161.852467351,35141.538778268,33484.374861898 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min)",HIB,2118.19,2281.33,2310.29,2173.13,2315.40,2207.79 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,151335.5,201878.7,295424.5,278454.9,396563.6,375876.2 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,178971,238518,323759,298762,426288,403518 "Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,12661,16777,24852,23405,32679,31366 "LULESH - (z/s)",HIB,1786.0847,8017.0634,8553.7048,9055.2721,8539.7577,9097.6803 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,1.97092,1.48744,1.00666,1.08274,0.77148,0.81574 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,54.17799,46.62668,36.85146,31.14671,34.66658,27.09340 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,36.76304,32.54760,25.05771,19.30214,24.30418,16.89291 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,6.61630,6.52910,5.71839,5.31417,5.98098,5.37583 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,109.4051,70.2099,93.0287,107.4274,88.2379,82.1169 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,73.5676,58.3158,63.5779,57.8477,52.6198,62.5766 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,1.30479,1.22820,0.975082,1.11652,0.856873,0.918202 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,678.046,460.087,463.804,368.215,273.946,275.936 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,36.7248,32.3908,25.9070,35.6332,26.4786,24.9509 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,3.11772,2.62505,2.24269,2.35730,2.15659,2.11160 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,10.34564,6.54158,7.07961,7.52862,4.30723,6.46818 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,15.8523,14.9978,16.5784,16.8446,16.1107,15.5430 "PyBench - Total For Average Test Times (Milliseconds)",LIB,513,504,513,520,510,556 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.51119,1.14581,0.974613,1.06757,0.654945,0.722234 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.61085,2.36119,1.54301,1.15780,1.56158,1.09757 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.24493,3.15255,1.81298,1.37135,1.69526,1.08250 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9.04052,6.87028,4.81751,5.22178,3.55733,3.94232 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.32379,2.25346,1.79896,2.01399,1.40617,1.51306 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2874.18,2062.84,1431.03,1559.98,1133.72,1215.85 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1445.76,1026.63,731.940,802.170,577.363,623.483 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,0.523691,0.387994,0.264671,0.294963,0.210336,0.229639 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,2506,1850,1228,1330,919,971 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,2998,2213,1466,1559,1097,1178 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,40074,29592,19622,21291,14683,15867 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,83779,62682,39193,41851,29432,31516 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,47897,35318,23448,24900,17576,18610 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,99550,73884,46829,49950,35187,37155 "Google Draco - Model: Lion (ms)",LIB,3526,3498,3585,3545,3443,3150 "Google Draco - Model: Church Facade (ms)",LIB,4514,4488,4576,3647,4400,3614 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,7.28,7.02,8.43,9.10,9.23,9.27 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,1.92,1.92,3.44,3.55,3.70,3.77 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,1.55,1.43,2.96,3.08,3.19,3.29 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,1.52,1.45,3.45,3.64,3.59,3.82 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,1.63,1.50,3.06,3.19,3.25,3.41 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,2.85,2.62,4.19,4.36,4.65,4.70 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,0.55,0.55,1.38,1.46,1.56,1.61 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,6.44,5.67,8.30,8.17,8.56,8.75 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,27.23,25.09,24.79,24.41,25.76,25.12 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,6.72,6.03,7.08,6.41,7.40,6.81 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,4.40,4.27,4.73,4.07,5.02,4.37 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,11.72,10.74,12.32,12.35,12.83,12.29 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,12.81,12.27,14.03,14.67,15.19,14.83 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,9.59,9.35,11.91,11.66,12.46,11.90 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,4.72,4.65,10.09,10.84,11.48,12.02 "NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,104.50,92.91,82.76,93.64,77.83,83.99 "NCNN - Target: CPU - Model: FastestDet (ms)",LIB,1.78,1.87,4.12,4.37,4.46,4.60 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,707.51,529.80,543.31,593.74,551.98,590.69 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1281.59,960.70,992.01,1058.96,1039.19,1082.51 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1272.19,957.75,1004.91,1079.72,1054.73,1086.14 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,9.88,8.22,8.12,7.57,10.36,7.89 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,368.29,269.69,279.40,308.86,280.96,305.98 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,5.47,4.24,4.29,4.78,4.30,4.68 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,7.18,5.36,5.48,6.04,5.52,5.98 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,63.12,48.29,53.99,56.24,58.42,58.72 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,5.61,5.36,5.46,6.14,5.52,6.11 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,6.33,4.50,4.71,5.07,4.78,4.80 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.35,0.34,0.35,0.39,0.35,0.39 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.70,0.59,0.6,0.68,0.61,0.67 "Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,467.8,464.0,479.9,507.4,482.8,502.3 "Selenium - Benchmark: Kraken - Browser: Google Chrome (ms)",LIB,349.1,344.6,349.9,380.5,346.0,378.7 "Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,17.9,17.7,17.9,18.1,18.1,18.9 "Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,249.7,246.0,245.0,245.4,244.7,260.1 "Selenium - Benchmark: WASM imageConvolute - Browser: Google Chrome (ms)",LIB,17.54,17.30,17.37,19.13,17.84,18.81 "Selenium - Benchmark: WASM collisionDetection - Browser: Google Chrome (ms)",LIB,230.42,226.11,220.88,230.91,217.97,229.47 "OpenCV - Test: Core (ms)",LIB,41495,41397,42660,43067,41602,46820 "OpenCV - Test: Video (ms)",LIB,16769,15782,26249,31168,25421,33702 "OpenCV - Test: Graph API (ms)",LIB,113600,111773,123605,138839,122065,139284 "OpenCV - Test: Stitching (ms)",LIB,111490,107407,114629,123364,111007,120452 "OpenCV - Test: Features 2D (ms)",LIB,33758,31216,34214,37002,33828,35434 "OpenCV - Test: Image Processing (ms)",LIB,68959,62606,81536,85537,79864,81537 "OpenCV - Test: Object Detection (ms)",LIB,23570,22497,20764,19800,19443,20032 "OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,12528,12366,23072,24081,19528,21833 "Selenium - Benchmark: PSPDFKit WASM - Browser: Firefox (Score)",LIB,2125,2799,2814,2192,2128,2866 "Selenium - Benchmark: PSPDFKit WASM - Browser: Google Chrome (Score)",LIB,2425,3121,3138,3175,2412,3159 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,71.67,69.44,48.69,30.96,46.81,28.77 "Xcompact3d Incompact3d - Input: input.i3d 129 Cells Per Direction (sec)",LIB,19.9036026,18.5838089,14.6754833,12.5325611,14.4937051,12.5259216 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,81.5029449,76.8833033,67.0718206,61.3538691,65.9366837,58.2937113 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,34.226027,30.395419,24.882105,26.173932,22.485095,24.352252 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,271.01389,248.83111,172.51322,139.47501,160.42607,124.42235 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,264.53391,232.3856,201.08433,196.47774,189.28477,180.58871 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,2632.4423,2506.4148,2170.6408,1913.5906,2100.7114,1849.3786 "SPECFEM3D - Model: Mount St. Helens (sec)",LIB,62.044863040,53.310569081,42.468653325,40.315949883,31.722993285,32.502339981 "SPECFEM3D - Model: Layered Halfspace (sec)",LIB,160.165177085,124.945349990,90.743482714,93.043075599,78.079695380,76.265870227 "SPECFEM3D - Model: Tomographic Model (sec)",LIB,59.184326172,45.624536434,33.707327963,36.814966208,34.157523620,35.011465927 "SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,74.133708971,57.780174901,44.308705280,46.238722602,41.772868898,43.061064944 "SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,147.042308969,120.794127864,89.281815117,90.582468227,78.430366578,78.333385511 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,45.994,36.552,26.150,27.501,21.499,22.018 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,373.146,296.475,207.822,212.938,169.651,168.855 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,96.342,77.080,55.494,57.688,45.699,46.318 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,1224.062,948.628,649.960,673.543,512.243,516.655 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,743.230,585.859,401.818,409.468,328.888,323.885 "Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,763.370,605.037,424.143,439.272,353.401,355.890 "Timed Node.js Compilation - Time To Compile (sec)",LIB,599.257,476.887,330.169,337.733,273.108,269.139 "Build2 - Time To Compile (sec)",LIB,144.642,114.595,85.303,85.971,69.756,69.893 "FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,16.20,16.10,16.08,17.28,15.87,16.80 "FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,28.91,27.11,26.16,28.49,25.55,27.67 "FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,136.74,133.86,135.99,143.46,133.74,140.05 "FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,81.11,75.35,70.20,77.26,67.32,73.15 "FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,106.77,104.91,105.92,112.19,104.25,110.22 "FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,117.10,109.72,103.01,112.54,98.19,106.99 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,107.06,104.77,105.99,111.70,104.08,109.66 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,117.00,109.64,102.84,112.71,98.22,106.58 "Apache Spark - Row Count: 1000000 - Partitions: 100 (sec)",LIB,,,,,, "Darktable - Test: Boat - Acceleration: CPU-only (sec)",LIB,4.400,3.533,2.762,2.969,2.340,2.495 "Darktable - Test: Masskrug - Acceleration: CPU-only (sec)",LIB,4.110,3.523,2.942,2.928,2.660,2.668 "Darktable - Test: Server Rack - Acceleration: CPU-only (sec)",LIB,0.314,0.248,0.187,0.189,0.155,0.157 "Darktable - Test: Server Room - Acceleration: CPU-only (sec)",LIB,3.178,2.790,2.502,2.494,2.332,2.347 "GIMP - Test: resize (sec)",LIB,9.559,9.505,12.326,13.313,12.244,12.796 "GIMP - Test: rotate (sec)",LIB,8.867,8.874,8.921,9.767,8.727,9.164 "GIMP - Test: auto-levels (sec)",LIB,9.205,9.098,10.028,10.600,10.059,10.835 "GIMP - Test: unsharp-mask (sec)",LIB,10.141,10.228,12.410,12.937,12.444,13.155 "GNU Octave Benchmark - (sec)",LIB,4.677,4.665,4.811,4.791,4.616,4.710 "GPAW - Input: Carbon Nanotube (sec)",LIB,223.234,191.062,150.836,143.853,137.885,126.804 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,128.42,97.00,65.31,70.03,49.38,52.16 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,165.78,124.40,84.08,90.46,63.91,67.50 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,412.55,309.02,209.33,225.19,158.81,168.04