Benchmarks preparing for a future article by Michael Larabel.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2405244-NE-EPYC4004108
AMD EPYC 4364P EPYC 4564P Intel Xeon E-2488 Benchmarks
Benchmarks preparing for a future article by Michael Larabel.
,,"EPYC 4364P @ DDR5-4800","Xeon E-2488 @ DDR5-4800","EPYC 4564P @ DDR5-4800","EPYC 4564P @ DDR5-5200","EPYC 4364P @ DDR5-5200"
Processor,,AMD EPYC 4364P 8-Core @ 5.57GHz (8 Cores / 16 Threads),Intel Xeon E E-2488 @ 3.20GHz (8 Cores / 16 Threads),AMD EPYC 4564P 16-Core @ 5.88GHz (16 Cores / 32 Threads),AMD EPYC 4564P 16-Core @ 5.88GHz (16 Cores / 32 Threads),AMD EPYC 4364P 8-Core @ 5.57GHz (8 Cores / 16 Threads)
Motherboard,,Supermicro AS-3015A-I H13SAE-MF v1.00 (1.1 BIOS),Supermicro Super Server X13SCL-F v0123456789 (1.1 BIOS),Supermicro AS-3015A-I H13SAE-MF v1.00 (1.1 BIOS),Supermicro AS-3015A-I H13SAE-MF v1.00 (1.1 BIOS),Supermicro AS-3015A-I H13SAE-MF v1.00 (1.1 BIOS)
Chipset,,AMD Device 14d8,Intel Raptor Lake-S PCH,AMD Device 14d8,AMD Device 14d8,AMD Device 14d8
Memory,,2 x 32GB DRAM-4800MT/s Micron MTC20C2085S1EC48BA1,2 x 32GB DRAM-4800MT/s Micron MTC20C2085S1EC48BA1,2 x 32GB DRAM-4800MT/s Micron MTC20C2085S1EC48BA1,2 x 32GB DRAM-5200MT/s,2 x 32GB DRAM-5200MT/s
Disk,,3201GB Micron_7450_MTFDKCC3T2TFS + 960GB Micron_7450_MTFDKBA960TFR,3201GB Micron_7450_MTFDKCC3T2TFS + 960GB Micron_7450_MTFDKBA960TFR,3201GB Micron_7450_MTFDKCC3T2TFS + 960GB Micron_7450_MTFDKBA960TFR,3201GB Micron_7450_MTFDKCC3T2TFS + 960GB Micron_7450_MTFDKBA960TFR,3201GB Micron_7450_MTFDKCC3T2TFS + 960GB Micron_7450_MTFDKBA960TFR
Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED
Audio,,AMD Rembrandt Radeon HD Audio,,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio
Network,,2 x Intel I210,2 x Intel I210,2 x Intel I210,2 x Intel I210,2 x Intel I210
OS,,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04
Kernel,,6.8.0-11-generic (x86_64),6.8.0-11-generic (x86_64),6.8.0-11-generic (x86_64),6.8.0-11-generic (x86_64),6.8.0-11-generic (x86_64)
Desktop,,GNOME Shell 45.3,GNOME Shell 45.3,GNOME Shell 45.3,GNOME Shell 45.3,GNOME Shell 45.3
Display Server,,X Server 1.21.1.11,X Server 1.21.1.11,X Server 1.21.1.11,X Server 1.21.1.11,X Server 1.21.1.11
Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080
,,"EPYC 4364P @ DDR5-4800","Xeon E-2488 @ DDR5-4800","EPYC 4564P @ DDR5-4800","EPYC 4564P @ DDR5-5200","EPYC 4364P @ DDR5-5200"
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,68.30,61.49,66.63,65.69,67.48
"PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,45.20,32.25,45.76,43.38,45.11
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,26.365,12.452,49.812,49.953,26.294
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,26.494,12.550,49.923,49.985,26.357
"Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,12527831.36,17858353.80,16207347.12,16150369.04,12445240.76
"Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,5854131.56,4023464.53,2537425.46,2446936.66,5997921.20
"Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,4400145.01,81538.34,8497821.55,8469095.71,4374980.16
"Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,4283.48,4740.28,8242.96,8199.65,4251.39
"Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,30389834.82,29762395.57,57429956.15,56410032.25,29927440.69
"Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,1953.52,2778.89,1924.70,2011.17,2029.45
"Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,30715.14,28846.06,59053.01,59037.14,30936.50
"Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,8606.94,9138.29,16537.83,16452.47,8556.72
"Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,416118.50,576480.15,781906.97,778238.33,413926.82
"Stress-NG - Test: AVX-512 VNNI (Bogo Ops/s)",HIB,1376354.00,1125583.01,2572055.58,2571394.82,1371242.64
"OpenSSL - Algorithm: SHA256 (byte/s)",HIB,17965660883,12336557263,33924881420,33989652273,17876358337
"OpenSSL - Algorithm: SHA512 (byte/s)",HIB,5813555230,4429397160,11004843967,11041579923,5794405307
"OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,132890512590,64812725680,250497225070,251224402513,133134074673
"OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,113843625530,56193249190,214525919597,215336847677,113941258877
"OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,68362354417,34651855800,129320991313,129853526473,68366108810
"OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,48632082067,23800263020,91743101110,92129622150,48542739663
"miniFE - Problem Size: Small (CG Mflops)",HIB,7278.87,9869.74,7330.07,7673.66,7325.10
"Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,350656750,453703880,362574433,378697000,352361775
"FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,179.98,178.15,186.71,186.42,179.99
"FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,32.03,28.89,34.06,34.21,31.95
"FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,65.45,58.75,69.24,69.80,65.26
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,65.27,58.75,69.52,69.81,65.35
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,7.19,2.65,13.46,13.52,7.14
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,14.07,10.41,26.44,26.46,13.97
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,18754.59,7499.47,34850.47,34815.39,18615.12
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,26465.33,18507.31,49580.07,49485.35,26230.85
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,54.11,29.83,86.56,88.84,55.11
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,54.23,29.71,87.50,88.32,54.98
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1427.32,1022.10,2669.64,2672.51,1417.33
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,728.18,265.83,1359.29,1362.00,723.13
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,882.75,500.86,1648.32,1653.69,879.50
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,465.15,249.02,680.56,701.84,472.57
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,834.18,401.42,1551.75,1556.07,833.73
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,82.32,33.74,133.65,136.73,82.80
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,1791.06,816.17,3283.98,3269.12,1781.62
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,2522.56,1559.06,4743.73,4734.27,2495.55
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,392.93,150.64,726.61,729.84,392.23
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,422.62,174.92,794.33,795.05,417.64
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,221.52,101.21,302.45,317.25,224.43
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,273.50,219.86,462.96,476.63,275.72
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,1036.33,437.96,1938.68,1938.32,1029.88
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,980.84,523.02,1544.55,1587.74,991.32
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,18.3544,16.5757,31.5835,32.2209,18.4511
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,15.5714,14.5499,26.8839,27.3873,15.6889
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,16.3264,13.3883,30.7908,31.3658,16.4625
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,621.633,649.426,711.526,728.577,633.291
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,121.437,104.614,160.654,165.285,122.908
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,539.872,548.042,649.204,660.336,546.706
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,123.638,105.280,164.852,170.214,125.277
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,147.312,120.533,187.537,189.413,148.336
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,46.837,36.140,71.140,72.744,47.285
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,19.962,15.918,23.944,24.171,19.891
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,5.711,4.348,7.831,7.838,5.742
"SVT-HEVC - Tuning: 1 - Input: Bosphorus 1080p (FPS)",HIB,12.31,9.16,22.86,23.10,12.28
"SVT-HEVC - Tuning: 1 - Input: Bosphorus 4K (FPS)",HIB,3.04,2.26,5.74,5.80,3.04
"SVT-HEVC - Tuning: 7 - Input: Bosphorus 1080p (FPS)",HIB,178.68,168.39,307.89,311.95,178.20
"SVT-HEVC - Tuning: 7 - Input: Bosphorus 4K (FPS)",HIB,56.95,47.98,97.70,99.61,57.23
"SVT-HEVC - Tuning: 10 - Input: Bosphorus 1080p (FPS)",HIB,358.54,383.64,545.31,560.81,361.05
"SVT-HEVC - Tuning: 10 - Input: Bosphorus 4K (FPS)",HIB,107.65,101.83,153.78,158.94,109.03
"SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,201.53,221.33,355.84,364.90,203.16
"SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 4K (FPS)",HIB,61.45,59.56,97.12,100.00,61.90
"SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,249.86,295.69,408.36,419.26,251.44
"SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K (FPS)",HIB,74.93,83.19,107.37,111.01,76.06
"SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,240.66,289.26,398.58,408.42,242.58
"SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 4K (FPS)",HIB,70.29,79.85,99.84,103.52,71.48
"x265 - Video Input: Bosphorus 1080p (FPS)",HIB,89.23,84.33,117.25,118.06,89.12
"x265 - Video Input: Bosphorus 4K (FPS)",HIB,17.73,19.48,34.13,34.65,17.61
"Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,64.80,50.47,87.51,88.30,64.68
"Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,129.55,103.04,184.98,186.56,129.02
"Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,168.47,139.72,245.56,248.39,168.08
"Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,226.69,197.51,299.12,301.57,226.13
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,12.48,9.28,21.80,22.02,12.49
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,31.05,23.05,47.67,48.11,31.04
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,38.85,28.64,62.23,62.56,38.82
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,52.25,39.59,80.50,81.23,52.30
"uvg266 - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,45.75,36.59,63.89,64.16,45.63
"uvg266 - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,112.05,89.31,165.55,166.81,111.78
"uvg266 - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,120.30,96.33,180.54,181.83,119.83
"uvg266 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,143.28,115.40,201.92,203.39,142.97
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,8.62,6.62,15.70,15.92,8.61
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,25.32,18.97,42.20,42.60,25.25
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,26.73,20.17,45.87,46.41,26.65
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,32.09,24.69,54.07,54.54,31.86
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,18.902,15.463,22.997,23.190,18.773
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,44.584,40.067,50.414,50.914,45.144
"VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,5.681,4.975,7.746,7.818,5.693
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,13.083,11.768,17.321,17.435,13.141
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,659.131,311.310,1245.304,1248.810,657.345
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,662.344,313.737,1248.077,1249.619,658.931
"ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,5.160364,4.204110,9.536711,9.577753,5.330500
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,74.1317,85.0062,125.536,127.931,77.5196
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,22.4741,26.4787,35.0651,37.2403,23.7179
"High Performance Conjugate Gradient - X Y Z: 104 104 104 - RT: 60 (GFLOP/s)",HIB,6.67485,7.58350,6.94846,7.22104,6.73761
"Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,1690.9,1742.9,3239.4,3266.9,1699.3
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.48,0.42,0.85,0.86,0.48
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.48,0.42,0.85,0.86,0.48
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.23,0.21,0.40,0.41,0.23
"TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,16.77,13.71,14.78,14.93,17.47
"TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,14.53,18.50,14.37,14.96,15.01
"TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,62.02,51.33,57.21,57.34,62.99
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,30.52,23.19,38.96,39.99,30.79
"TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,171.11,160.52,236.71,242.49,172.89
"TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,92.82,78.79,131.79,135.30,93.71
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,30.22,23.10,39.07,40.24,30.53
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,205.32,173.78,316.11,322.53,206.40
"TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,91.42,78.17,129.59,133.21,92.37
"TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,30.33,23.07,39.37,40.68,30.63
"TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,237.76,189.14,405.64,409.96,237.57
"TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,90.98,76.84,128.54,132.13,91.77
"TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,30.41,22.98,39.73,41.02,30.70
"TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,240.74,192.28,422.88,425.47,240.23
"TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,91.07,76.13,129.06,132.62,91.90
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,10.46448,7.83432,10.3104,10.2115,10.70547
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,9.32307,8.09421,11.6777,11.5199,9.29179
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,1.12597,1.042812,1.76384,1.76349,1.16054
"ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,93.1564,75.8803,132.293,133.322,91.5855
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,11.7495,10.9265,15.2718,15.1443,15.2174
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,12.2597,11.5372,15.8484,15.5560,12.5483
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,128.008,126.674,131.438,133.168,123.952
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,120.909,123.284,118.910,122.627,120.280
"ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,27.7125,23.0436,36.5624,37.2714,27.0247
"ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,327.525,224.106,401.349,422.417,323.381
"ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,325.209,214.547,386.409,380.818,322.610
"ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,674.506,587.732,894.660,895.773,676.652
"ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,680.951,557.408,833.520,829.194,677.583
"ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,52.3449,42.3505,60.0604,53.5757,51.9129
"ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,51.7236,41.0093,51.7844,52.7214,50.5310
"ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences/sec)",HIB,142.061,169.620,157.010,162.329,139.477
"ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,142.816,161.313,152.044,156.773,141.629
"OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,327,288,596,603,331
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,3.87827,2.73496,7.45782,7.46649,3.91070
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,3.82321,2.63851,7.31921,7.36909,3.82138
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,4.65305,3.79539,8.92149,8.97813,4.66757
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,4.58353,5.93161,8.81078,8.98399,4.63828
"OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,4.64920,5.88640,8.81722,8.98195,4.61871
"OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,168.642,157.969,219.737,220.907,170.390
"GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,244,315,269,278,255
"GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,76,70,116,119,76
"GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,50,49,93,94,50
"GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,251,244,332,338,255
"GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,169,317,161,167,168
"GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,31,36,57,58,30
"GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,138,130,246,250,139
"Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,505633.419425,430017.460583,954988.728979,951674.506461,499103.502905
"Aircrack-ng - (k/s)",HIB,48802.996,35441.707,92030.349,92259.953,48527.815
"Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,163.88,119.86,310.84,308.21,162.88
"Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,51370,38847,97753,97340,51087
"Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,32010,26527,61347,61360,31903
"Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,6023.38,4843.72,11228.13,11337,5972.09
"Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,332.40,278.09,644.74,633.44,330.62
"Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,74883,56160,143480,142753,74513
"Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,1691.29,1356.31,3196.42,3179.32,1674.99
"Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,1868.89,1437.47,3541.50,3500.13,1851.25
"Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,4405.85,3294.49,8421.15,8356.74,4377.74
"Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,18060,13933,34753,34640,17983
"Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,8437.93,6037.26,16317,16120,8389.15
"LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec)",HIB,2.74,2.13,4.96,5.00,2.75
"LuxCoreRender - Scene: Rainbow Colors and Prism - Acceleration: CPU (M samples/sec)",HIB,11.89,9.35,16.94,16.98,11.93
"LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: CPU (M samples/sec)",HIB,2.41,1.69,4.62,4.65,2.41
"LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec)",HIB,4.42,3.58,7.70,7.72,4.42
"LuxCoreRender - Scene: Danish Mood - Acceleration: CPU (M samples/sec)",HIB,2.06,1.45,4.14,4.18,2.10
"SecureMark - Benchmark: SecureMark-TLS (marks)",HIB,437475,426706,435859,429779,430421
"PETSc - Test: Streams (MB/s)",HIB,39918.9683,69652.7320,39471.0714,41077.6339,26545.7101
"Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,513.9,485.6,778.5,793.8,520.3
"Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,2313.4,2375.6,2279.9,2245.7,2322.3
"Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,518.5,504.1,778.8,797.0,527.9
"Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,2324.5,2375.4,2278.0,2299.7,2352.5
"Zstd Compression - Compression Level: 12 - Compression Speed (MB/s)",HIB,168.4,170.6,207.5,220.9,171.0
"Zstd Compression - Compression Level: 12 - Decompression Speed (MB/s)",HIB,2394.8,2377.0,2308.6,2314.7,2404.2
"Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,17.9,16.3,19.5,18.8,18.0
"Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,2026.0,1972.1,1998.3,2010.8,2066.7
"Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,10.3,8.91,11.5,10.7,10.2
"Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1836.4,1906.1,1890.5,1908.3,1926.9
"srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps)",HIB,1517.4,1068.9,1611.5,1611.5,1470.5
"srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,183.5,153.6,183.6,183.5,183.6
"srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps)",HIB,7792.6,2908.5,12647.5,12852.6,7530.0
"srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,1082.7,809.6,1027.8,1049.1,1061.5
"QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,4518.4,5019.2,4425.0,4425.2,4457.8
"QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,44058.2,37214.4,83133.5,83365.1,43490.7
"Java SciMark - Computational Test: Composite (Mflops)",HIB,5519.55,4311.80,5321.50,5441.20,5476.91
"Java SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,470.91,1023.23,453.05,443.49,450.10
"Java SciMark - Computational Test: Jacobi Successive Over-Relaxation (Mflops)",HIB,2487.93,2667.90,2464.14,2518.58,2489.61
"Java SciMark - Computational Test: Monte Carlo (Mflops)",HIB,2570.60,1426.11,2456.47,2529.18,2541.20
"Java SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,18030.92,11976.06,17230.85,17774.36,17934.59
"ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,2703.36,2556.22,4886.94,5073.23,2739.34
"ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,3429.45,4282.18,5023.7,5172.44,3426.03
"ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,1550.64,2260.82,1917.67,1977.00,1619.82
"ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,1791.99,3033.56,2291.85,2387.89,1806.71
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,101849,94990,167186,170888,103571
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,87804,61527,168957,170373,88945
"WebP Image Encode - Encode Settings: Default (MP/s)",HIB,26.78,23.93,25.78,26.25,26.81
"WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,16.59,15.37,15.84,16.11,16.54
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,5.30,4.73,5.15,5.10,5.28
"WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,2.16,2.17,2.08,2.09,2.17
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.84,0.88,0.82,0.82,0.84
"JPEG-XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,36.320,32.506,46.773,48.588,37.180
"JPEG-XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,16.578,13.484,26.958,27.223,16.519
"JPEG-XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,36.035,31.814,47.231,48.525,36.024
"JPEG-XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,16.689,13.650,27.555,27.748,16.661
"ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,3349.85,5146.33,6613.59,6642.94,3635.69
"ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,3975.69,6199.09,7317.33,7477.19,4256.28
"ASTC Encoder - Preset: Fast (MT/s)",HIB,204.8423,205.9321,388.6309,392.2377,203.1039
"ASTC Encoder - Preset: Medium (MT/s)",HIB,80.5260,89.1400,153.7016,154.7202,79.6040
"ASTC Encoder - Preset: Thorough (MT/s)",HIB,10.3241,12.2307,19.6781,19.9038,10.2089
"ASTC Encoder - Preset: Very Thorough (MT/s)",HIB,1.4109,1.4639,2.6608,2.6841,1.3979
"ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,0.8633,0.8741,1.6262,1.6391,0.8557
"Stockfish - Chess Benchmark (Nodes/s)",HIB,22631087,16898291,42791247,44270858,23143858
"GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,1.526,1.434,2.468,2.543,1.546
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,6.848,7.236,12.449,12.481,6.826
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,8.031,7.579,14.471,13.691,8.215
"NAMD - Input: ATPase with 327,506 Atoms (ns/day)",HIB,1.73454,0.65977,2.74999,2.78846,1.73764
"NAMD - Input: STMV with 1,066,628 Atoms (ns/day)",HIB,0.49007,0.20565,0.74072,0.75646,0.49345
"ScyllaDB - Test: Writes (Op/s)",HIB,94899,104832,151849,151729,94217
"RocksDB - Test: Random Fill (Op/s)",HIB,1154716,1647988,1229256,1225921,1159865
"RocksDB - Test: Random Fill Sync (Op/s)",HIB,98054,201594,170735,171199,99746
"RocksDB - Test: Random Read (Op/s)",HIB,69366631,47512260,131218639,130693063,69408254
"RocksDB - Test: Read While Writing (Op/s)",HIB,2476441,1942760,4368397,4294631,2519594
"RocksDB - Test: Read Random Write Random (Op/s)",HIB,2137892,1976533,2912747,2915758,2131122
"RocksDB - Test: Update Random (Op/s)",HIB,609510,908300,703294,700416,618187
"RocksDB - Test: Overwrite (Op/s)",HIB,1155121,1653489,1229747,1225361,1152820
"Speedb - Test: Random Fill (Op/s)",HIB,1011788,876130,869816,866759,1005973
"Speedb - Test: Random Fill Sync (Op/s)",HIB,128855,225607,170365,171623,127955
"Speedb - Test: Random Read (Op/s)",HIB,72087947,57824426,135603493,134971626,71648683
"Speedb - Test: Read While Writing (Op/s)",HIB,3212276,2548837,5146187,5119891,3194971
"Speedb - Test: Read Random Write Random (Op/s)",HIB,2144575,2120915,2770899,2770195,2138776
"Speedb - Test: Update Random (Op/s)",HIB,556040,828184,624743,623366,553791
"Apache Hadoop - Operation: Create - Threads: 100 - Files: 100000 (Ops per sec)",HIB,90476,88992,74946,75381,90938
"Apache Hadoop - Operation: Create - Threads: 500 - Files: 100000 (Ops per sec)",HIB,76371,76956,71080,70436,77585
"CockroachDB - Workload: KV, 95% Reads - Concurrency: 128 (ops/s)",HIB,84052.3,83987.5,119084.9,121061.7,83155.8
"CockroachDB - Workload: KV, 50% Reads - Concurrency: 128 (ops/s)",HIB,64458.4,59866.6,90528.3,92195.2,64052.7
"CockroachDB - Workload: KV, 60% Reads - Concurrency: 128 (ops/s)",HIB,67444.0,63021.4,93864.1,95084.8,67506.7
"Java JMH - Throughput (Ops/s)",HIB,38717919571.114,36765943472.268,75186159786.823,75134161573.042,38776376503.465
"Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:100 (Ops/sec)",HIB,4818585.25,4604951.36,7046043.06,6289782.08,4762998.42
"Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,4759359.71,4522560.58,6406922.86,6266297.87,4729191.29
"Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,2124192.99,3048853.56,3850014.66,3844031.28,2104490.55
"Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2217988.24,3072373.87,3775389.09,3761626.61,2195688.49
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,63627945,57028398,68166248,69857519,64781285
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (point/sec)",HIB,63296864,57760197,67794681,69731166,64655502
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,69450850,62558098,76780782,79315319,70305285
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,69856949,64886364,77609975,78454316,71338740
"Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,68672756,61842388,75706552,77605627,69561449
"Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (point/sec)",HIB,68897602,62655549,75893047,77658914,69144164
"Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,62420035,56035278,71922519,74075244,62951458
"Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,64354682,56494499,71135797,73716025,64182563
"ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,211.59,234.39,222.80,227.39,222.47
"ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,226.35,249.50,240.37,248.89,236.47
"ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,228.79,249.90,241.90,251.80,232.47
"MariaDB mariadb-slap - Clients: 64 (Queries/sec)",HIB,1132,1128,1182,1183,1124
"MariaDB mariadb-slap - Clients: 128 (Queries/sec)",HIB,587,574,614,612,580
"MariaDB - Test: oltp_read_write - Threads: 32 (Queries/sec)",HIB,159448,180020,184015,181519,158499
"MariaDB - Test: oltp_read_write - Threads: 64 (Queries/sec)",HIB,168388,186418,201579,201182,168593
"MariaDB - Test: oltp_write_only - Threads: 32 (Queries/sec)",HIB,310088,304169,352931,346114,306926
"MariaDB - Test: oltp_write_only - Threads: 64 (Queries/sec)",HIB,265093,296034,349473,348099,265119
"MariaDB - Test: oltp_update_non_index - Threads: 32 (Queries/sec)",HIB,224636,253110,239542,239192,224118
"MariaDB - Test: oltp_update_non_index - Threads: 64 (Queries/sec)",HIB,200246,220068,234051,233313,201401
"MariaDB - Test: oltp_update_index - Threads: 32 (Queries/sec)",HIB,198305,210974,206240,207212,198779
"MariaDB - Test: oltp_update_index - Threads: 64 (Queries/sec)",HIB,177842,187089,200156,198538,177579
"John The Ripper - Test: MD5 (Real C/S)",HIB,2230333,919791,4066667,4118000,2234333
"John The Ripper - Test: Blowfish (Real C/S)",HIB,23174,18841,42924,43795,23243
"John The Ripper - Test: HMAC-SHA512 (Real C/S)",HIB,117065667,40721000,178283333,181331000,116770333
"John The Ripper - Test: bcrypt (Real C/S)",HIB,23271,18787,43512,43695,23235
"John The Ripper - Test: WPA PSK (Real C/S)",HIB,85712,29560,160805,160664,85532
"nginx - Connections: 200 (Reqs/sec)",HIB,100527.89,98692.95,162256.48,162348.33,101214.88
"nginx - Connections: 500 (Reqs/sec)",HIB,91505.24,92582.29,156935.63,154835.06,94947.75
"nginx - Connections: 1000 (Reqs/sec)",HIB,84772.31,87132.22,144355.05,136360.72,85990.12
"Apache HTTP Server - Concurrent Requests: 500 (Reqs/sec)",HIB,96630.23,125745.61,136714.05,133534.11,96508.30
"Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,87686.63,113097.85,130637.70,131437.32,87708.39
"Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,3656582.35,3327348.65,3827317.96,3419833.50,3684418.98
"Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,21.89,23.30,20.06,20.81,22.14
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,53661333,63236667,52493000,53018667,53659000
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,20106667,20255000,19299333,18964400,19611667
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,107140000,127376667,103326667,103696667,107146667
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,39693000,40821333,38605667,38712667,39094333
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,212860000,253450000,206306667,205890000,209743333
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,77811000,79553667,76415667,76809000,77508667
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,411290000,439150000,404010000,404976667,409386667
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,151906667,130002500,147935000,149903333,150576667
"Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,740166667,711050000,787633333,795966667,735566667
"Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,212960000,159270000,286960000,292390000,211670000
"Numpy Benchmark - (Score)",HIB,812.16,675.48,800.78,803.04,808.62
"OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,7692.3,3000.2,14222.8,14289.7,7697.3
"Llama.cpp - Model: llama-2-7b.Q4_0.gguf (Tokens/sec)",HIB,12.73,16.07,13.12,13.82,12.54
"Llama.cpp - Model: llama-2-13b.Q4_0.gguf (Tokens/sec)",HIB,6.70,8.38,6.98,7.32,6.57
"Llama.cpp - Model: llama-2-70b-chat.Q5_0.gguf (Tokens/sec)",HIB,1.09,1.36,1.16,1.21,1.06
"Llamafile - Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU (Tokens/sec)",HIB,6.34,7.91,6.53,6.79,6.28
"Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec)",HIB,10.57,13.32,10.90,11.37,10.48
"Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec)",HIB,1.84,2.20,1.94,2.01,1.82
"NAS Parallel Benchmarks - Test / Class: BT.C (Mop/s)",HIB,22551.09,28326.36,43371.78,44844.13,22935.27
"NAS Parallel Benchmarks - Test / Class: EP.C (Mop/s)",HIB,1101.23,1470.81,2117.29,2123.37,1169.68
"NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,37048.80,40491.56,46710.34,47556.69,37149.88
"NAS Parallel Benchmarks - Test / Class: SP.B (Mop/s)",HIB,10661.66,12750.97,18360.82,18660.90,11152.31
"NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,9707.08,11387.05,12630.55,13374.35,10027.11
"NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,1228.58,1604.85,1223.22,1278.44,1269.37
"NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,19566.67,24688.58,20223.60,20961.35,20265.52
"NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,7857.53,9750.34,8784.83,9036.65,7898.41
"PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write (TPS)",HIB,40163,42412,57520,56517,40473
"PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only (TPS)",HIB,532015,555873,1388157,1384166,520502
"PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write (TPS)",HIB,32316,34486,49683,49522,32657
"PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only (TPS)",HIB,385411,431962,1128893,1108243,390018
"OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,193565.9,195618.8,372775.0,373632.3,194210.3
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,229365,194127,394575,397138,226198
"Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,23056,20060,43567,43879,23078
"LULESH - (z/s)",HIB,6454.6726,8126.3211,8006.3547,8106.1545,6744.8566
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,72.28,80.56,67.07,65.63,70.70
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (Latency)",LIB,248.62,275.14,235.20,230.41,243.61
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,106.44,119.49,95.72,92.08,105.58
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,359.26,382.48,322.24,321.29,347.97
"Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,69.05,77.24,62.09,60.66,68.16
"Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (Latency)",LIB,267.99,290.14,238.34,235.16,268.42
"Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,123.74,137.92,106.72,103.37,122.55
"Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,460.21,524.13,415.04,399.56,462.14
"Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,43.80306,32.86765,30.23603,29.55297,42.93941
"Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,61.27547,55.89647,44.42709,42.22565,61.96916
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,100.0271,127.667,96.9943,97.9358,97.1235
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,107.5081,123.593,85.6348,86.8403,107.793
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,889.170,960.856,567.021,567.065,864.561
"ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,10.7379,13.1792,7.55840,7.50080,10.9182
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,85.1150,91.5188,65.4802,66.0282,70.8263
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,81.5676,86.6873,63.1072,64.2827,79.7037
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,7.81820,7.89080,7.60699,7.51744,8.06389
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,8.26788,8.10864,8.40671,8.15155,8.31107
"ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,36.2481,43.3967,27.3493,26.8284,37.0025
"ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,3.05542,4.46170,2.49599,2.38299,3.09150
"ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,3.07441,4.66040,2.58704,2.62524,3.09905
"ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,1.48191,1.70107,1.11712,1.11577,1.47738
"ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,1.46770,1.79347,1.19855,1.20504,1.47531
"ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,19.1025,23.6106,16.7849,18.6633,19.2609
"ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,19.3345,24.3858,19.3166,18.9664,19.7910
"ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,7.03702,5.90786,6.36984,6.16145,7.16751
"ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,7.00331,6.19876,6.57601,6.37806,7.06097
"PyBench - Total For Average Test Times (Milliseconds)",LIB,532,415,536,533,527
"PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,12.454,11.791,8.696,8.850,12.355
"PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.940,0.899,0.360,0.361,0.961
"PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,24.761,23.198,16.102,16.157,24.498
"PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,2.077,1.852,0.709,0.722,2.051
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2143,2441,1078,1069,2133
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,37677,41514,17247,17116,37458
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,72067,81236,37984,37923,71530
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2171,2474,1090,1080,2156
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,38010,42275,17491,17285,37900
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,72906,82403,38454,38192,72250
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2539,2884,1275,1265,2526
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,44013,48929,20461,20283,43830
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,84611,95447,44561,44247,84209
"Google Draco - Model: Church Facade (ms)",LIB,5163,5607,5237,5224,5083
"Google Draco - Model: Lion (ms)",LIB,3922,3830,4049,3878,3891
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,556.14,1506.63,592.59,590.80,560.14
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,283.71,384.09,301.83,301.79,285.97
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.4,1.00,0.41,0.41,0.4
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.28,0.4,0.29,0.29,0.28
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,73.87,133.99,92.38,89.98,72.52
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,73.71,134.54,91.34,90.49,72.70
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,5.59,7.78,5.96,5.96,5.63
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,10.97,30.05,11.75,11.72,11.05
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.52,15.95,4.83,4.82,4.53
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,8.57,16.04,11.72,11.36,8.44
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,4.78,9.94,5.13,5.12,4.78
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,48.55,118.45,59.77,58.43,48.26
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,2.2,9.76,2.37,2.37,2.21
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,3.13,5.07,3.32,3.33,3.16
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,20.34,53.07,21.99,21.89,20.37
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,18.90,45.70,20.11,20.09,19.13
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,18.02,39.48,26.38,25.15,17.79
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,14.59,36.35,17.22,16.73,14.48
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,3.85,18.22,4.11,4.11,3.87
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,8.03,15.21,10.18,9.90,7.95
"oneDNN - Harness: Convolution Batch Shapes Auto - Engine: CPU (ms)",LIB,8.23220,6.38053,6.72536,6.40719,8.16800
"oneDNN - Harness: Deconvolution Batch shapes_1d - Engine: CPU (ms)",LIB,3.87665,6.85318,2.98654,3.00636,3.91089
"oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,3.79890,4.94792,2.46164,2.46159,3.83412
"oneDNN - Harness: IP Shapes 1D - Engine: CPU (ms)",LIB,1.98773,2.91408,1.13203,1.13000,1.99986
"oneDNN - Harness: IP Shapes 3D - Engine: CPU (ms)",LIB,4.61211,7.59695,4.07056,3.88685,4.67840
"oneDNN - Harness: Recurrent Neural Network Training - Engine: CPU (ms)",LIB,2496.65,2931.95,1354.12,1348.37,2491.14
"oneDNN - Harness: Recurrent Neural Network Inference - Engine: CPU (ms)",LIB,1329.68,1548.71,703.750,706.645,1337.47
"Renaissance - Test: Savina Reactors.IO (ms)",LIB,3036.5,3695.4,3270.6,3265.2,3042.0
"Renaissance - Test: Finagle HTTP Requests (ms)",LIB,1925.0,1668.7,2288.1,2300.7,1963.8
"Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,819.5,886.6,887.0,882.7,821.7
"DaCapo Benchmark - Java Test: Eclipse (msec)",LIB,6483,6943,6627,6587,6410
"DaCapo Benchmark - Java Test: Avrora AVR Simulation Framework (msec)",LIB,2430,1451,2393,2359,2415
"DaCapo Benchmark - Java Test: Batik SVG Toolkit (msec)",LIB,927,897,969,936,930
"DaCapo Benchmark - Java Test: FOP Print Formatter (msec)",LIB,423,426,403,399,414
"DaCapo Benchmark - Java Test: PMD Source Code Analyzer (msec)",LIB,1142,1122,1074,1053,1113
"DaCapo Benchmark - Java Test: Apache Tomcat (msec)",LIB,6467,6687,3367,3370,6482
"DaCapo Benchmark - Java Test: Apache Xalan XSLT (msec)",LIB,448,408,508,506,450
"DaCapo Benchmark - Java Test: Apache Lucene Search Index (msec)",LIB,2407,2296,2517,2471,2390
"DaCapo Benchmark - Java Test: Apache Lucene Search Engine (msec)",LIB,2404,3113,2083,2080,2409
"DaCapo Benchmark - Java Test: H2 Database Engine (msec)",LIB,2000,2128,1872,1826,1977
"DaCapo Benchmark - Java Test: Jython (msec)",LIB,3790,2433,3795,3871,3762
"DaCapo Benchmark - Java Test: Tradebeans (msec)",LIB,2775,3410,3359,3329,2815
"DaCapo Benchmark - Java Test: Tradesoap (msec)",LIB,1964,1914,2439,2474,1979
"DaCapo Benchmark - Java Test: BioJava Biological Data Framework (msec)",LIB,4347,3708,4413,4425,4327
"DaCapo Benchmark - Java Test: GraphChi (msec)",LIB,2535,2675,2521,2472,2561
"DaCapo Benchmark - Java Test: jMonkeyEngine (msec)",LIB,6804,6827,6808,6806,6802
"DaCapo Benchmark - Java Test: Apache Kafka (msec)",LIB,5031,4984,5030,5055,5027
"DaCapo Benchmark - Java Test: Spring Boot (msec)",LIB,1159,1220,1554,1554,1162
"DaCapo Benchmark - Java Test: Zxing 1D/2D Barcode Image Processing (msec)",LIB,1016,1053,597,589,1019
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,97.918,108.338,57.927,57.472,97.405
"Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,1312.351,1508.042,717.711,714.384,1310.962
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,42.474,50.051,25.541,25.301,42.195
"Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,329.179,364.422,191.082,188.525,326.162
"Timed Node.js Compilation - Time To Compile (sec)",LIB,737.286,915.937,427.637,421.430,739.343
"Timed Gem5 Compilation - Time To Compile (sec)",LIB,436.048,468.378,277.725,273.493,432.221
"Timed LLVM Compilation - Build System: Ninja (sec)",LIB,643.223,697.937,360.463,354.764,636.832
"Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,670.269,719.392,395.186,387.011,662.522
"Timed PHP Compilation - Time To Compile (sec)",LIB,53.091,54.449,40.847,40.110,53.755
"Timed Wasmer Compilation - Time To Compile (sec)",LIB,36.548,38.134,29.890,29.443,36.902
"Timed Mesa Compilation - Time To Compile (sec)",LIB,28.195,32.515,17.730,17.464,28.263
"Timed CPython Compilation - Build Configuration: Default (sec)",LIB,16.499,16.85,14.149,14.134,16.576
"Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,202.772,197.921,193.585,193.465,200.978
"DuckDB - Benchmark: IMDB (sec)",LIB,101.939,99.575,83.005,82.377,100.627
"m-queens - Time To Solve (sec)",LIB,53.082,72.852,27.823,27.914,53.501
"SPECFEM3D - Model: Layered Halfspace (sec)",LIB,130.528009050,144.539537175,85.995981541,83.970385886,133.309044185
"SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,129.551632196,135.416735242,87.856011578,85.254370260,129.332051612
"SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,57.793286206,67.114929508,39.915238393,39.561071375,63.865203042
"SPECFEM3D - Model: Mount St. Helens (sec)",LIB,49.543042397,53.287162292,34.795020293,33.126776518,51.286977035
"SPECFEM3D - Model: Tomographic Model (sec)",LIB,46.576508103,52.893781663,30.487643606,30.132231580,49.576470688
"Dolfyn - Computational Fluid Dynamics (sec)",LIB,10.634,10.421,10.927,10.963,10.727
"CloverLeaf - Input: clover_bm (sec)",LIB,89.36,64.58,75.55,72.88,86.82
"CloverLeaf - Input: clover_bm64_short (sec)",LIB,177.83,138.32,178.81,171.30,172.36
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,6.166,6.278,3.164,3.037,5.990
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,159.043,145.992,132.128,127.024,152.786
"GPAW - Input: Carbon Nanotube (sec)",LIB,217.495,228.899,166.513,154.989,205.874
"Xcompact3d Incompact3d - Input: input.i3d 129 Cells Per Direction (sec)",LIB,22.5346236,19.7521490,17.1065413,16.5884685,21.8746431
"Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,90.6922328,73.7203613,79.6040472,73.8836784,87.7703425
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,41.677148,35.18608,29.739379,30.765271,38.173004
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,311.36104,242.94479,199.88007,183.23451,296.60098
"OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,276.70864,225.95491,245.10431,226.01104,296.21094
"OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,2926.9791,2260.9881,2445.681,2351.5135,2827.8789
"OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,276.24,259.88,177.58,183.64,266.65
"OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,175.46,177.74,101.62,110.05,162.03
"OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,100.19,93.26,68.68,67.71,95.48
"OpenRadioss - Model: Bumper Beam (sec)",LIB,140.26,153.90,107.17,108.64,145.32
"OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,582.32,538.42,349.91,322.67,585.75
"OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,1060.53,983.54,915.82,891.84,1003.59
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,101.52,123.51,53.56,53.25,101.72
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,259.85,336.94,136.92,136.11,259.46
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,127.12,165.00,67.34,66.78,127.01
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,316.02,411.15,166.82,165.35,315.13
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,928.10,1281.54,484.46,481.15,925.38
"Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,139.94,173.17,73.73,72.75,139.48
"Appleseed - Scene: Emily (sec)",LIB,264.550473,323.270593,153.372731,152.301783,263.511098
"Appleseed - Scene: Disney Material (sec)",LIB,156.370961,174.948967,85.934505,85.317922,156.069532
"Appleseed - Scene: Material Tester (sec)",LIB,143.379959,173.408541,102.744509,102.152381,142.936958
"Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,6.176853,6.612486,3.325543,3.299879,6.154460
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,107.789,133.567,72.424,72.106,108.654
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,51.377,61.843,36.335,36.331,51.942
"libavif avifenc - Encoder Speed: 6 (sec)",LIB,5.301,6.260,3.447,3.421,5.338
"libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,8.140,8.969,5.932,5.890,8.147
"libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,4.202,4.162,3.804,3.841,4.205
"RNNoise - Input: 26 Minute Long Talking Sample (sec)",LIB,7.028,6.400,7.291,7.414,7.184
"GNU Octave Benchmark - (sec)",LIB,5.668,6.462,5.754,5.780,5.587
"RawTherapee - Total Benchmark Time (sec)",LIB,46.732,42.659,42.791,42.550,46.659
"Z3 Theorem Prover - SMT File: 1.smt2 (sec)",LIB,20.501,18.660,20.778,20.325,20.432
"Z3 Theorem Prover - SMT File: 2.smt2 (sec)",LIB,48.122,63.076,48.997,48.877,48.676
"Helsing - Digit Range: 12 digit (sec)",LIB,3.753,4.080,2.011,2.016,3.828
"Helsing - Digit Range: 14 digit (sec)",LIB,372.103,437.414,199.825,200.768,375.915
"Primesieve - Length: 1e12 (sec)",LIB,12.416,21.095,6.669,6.691,12.506
"Primesieve - Length: 1e13 (sec)",LIB,152.679,245.674,82.116,82.473,153.598
"Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,11.555,14.926,8.920,8.652,11.589
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,25.242,33.891,18.803,18.211,25.455
"QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,21.449,24.057,25.619,25.252,23.119