HP Zbook

Intel Core i9-10885H testing with a HP 8736 (S91 Ver. 01.02.01 BIOS) and NVIDIA Quadro RTX 5000 with Max-Q Design 16GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2101076-HA-HPZBOOK6247
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Audio Encoding 2 Tests
AV1 2 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 13 Tests
Compression Tests 2 Tests
CPU Massive 23 Tests
Creator Workloads 22 Tests
Database Test Suite 3 Tests
Encoding 4 Tests
Fortran Tests 2 Tests
Game Development 4 Tests
HPC - High Performance Computing 19 Tests
Imaging 5 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 12 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 3 Tests
Multi-Core 22 Tests
NVIDIA GPU Compute 24 Tests
Intel oneAPI 3 Tests
OpenCL 6 Tests
OpenGL Demos Test Suite 2 Tests
OpenMPI Tests 4 Tests
Productivity 2 Tests
Programmer / Developer System Benchmarks 10 Tests
Python Tests 4 Tests
Renderers 2 Tests
Scientific Computing 5 Tests
Server 6 Tests
Server CPU Tests 11 Tests
Single-Threaded 6 Tests
Speech 3 Tests
Telephony 3 Tests
Texture Compression 3 Tests
Unigine Test Suite 2 Tests
Video Encoding 2 Tests
Vulkan Compute 6 Tests
Common Workstation Benchmarks 3 Tests

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r1
January 04 2021
  21 Hours, 19 Minutes
r2
January 05 2021
  21 Hours, 8 Minutes
r3
January 06 2021
  20 Hours, 49 Minutes
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HP Zbook Intel Core i9-10885H testing with a HP 8736 (S91 Ver. 01.02.01 BIOS) and NVIDIA Quadro RTX 5000 with Max-Q Design 16GB on Ubuntu 20.04 via the Phoronix Test Suite. ,,"r1","r2","r3" Processor,,Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads),Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads),Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads) Motherboard,,HP 8736 (S91 Ver. 01.02.01 BIOS),HP 8736 (S91 Ver. 01.02.01 BIOS),HP 8736 (S91 Ver. 01.02.01 BIOS) Chipset,,Intel Comet Lake PCH,Intel Comet Lake PCH,Intel Comet Lake PCH Memory,,32GB,32GB,32GB Disk,,2048GB KXG50PNV2T04 KIOXIA,2048GB KXG50PNV2T04 KIOXIA,2048GB KXG50PNV2T04 KIOXIA Graphics,,NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (600/6000MHz),NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (600/6000MHz),NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (600/6000MHz) Audio,,Intel Comet Lake PCH cAVS,Intel Comet Lake PCH cAVS,Intel Comet Lake PCH cAVS Network,,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201 OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.6.0-1034-oem (x86_64),5.6.0-1034-oem (x86_64),5.6.0-1034-oem (x86_64) Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4 Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8 Display Driver,,NVIDIA 450.80.02,NVIDIA 450.80.02,NVIDIA 450.80.02 OpenGL,,4.6.0,4.6.0,4.6.0 OpenCL,,OpenCL 1.2 CUDA 11.0.228,OpenCL 1.2 CUDA 11.0.228,OpenCL 1.2 CUDA 11.0.228 Vulkan,,1.2.133,1.2.133,1.2.133 Compiler,,GCC 9.3.0 + CUDA 10.1,GCC 9.3.0 + CUDA 10.1,GCC 9.3.0 + CUDA 10.1 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"r1","r2","r3" "Blender - Blend File: Barbershop - Compute: NVIDIA OptiX (sec)",LIB,1192.96,1190.05,1192.80 "Basis Universal - Settings: UASTC Level 2 + RDO Post-Processing (sec)",LIB,840.347,840.319,841.228 "Blender - Blend File: Barbershop - Compute: CUDA (sec)",LIB,734.81,731.67,733.02 "Blender - Blend File: Pabellon Barcelona - Compute: CUDA (sec)",LIB,608.80,609.56,608.62 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,62.568,63.180,63.563 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,10.646,10.675,10.658 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,5.239,5.291,5.285 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,58.161,58.530,58.786 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,8.899,8.982,8.944 "AI Benchmark Alpha - Device AI Score (Score)",HIB,1546,1544,1544 "AI Benchmark Alpha - Device Training Score (Score)",HIB,816,814,814 "AI Benchmark Alpha - Device Inference Score (Score)",HIB,730,730,730 "RedShift Demo - (sec)",LIB,461,460,459 "DDraceNetwork - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: RaiNyMore2 (FPS)",HIB,170.36,169.30,151.49 "ASTC Encoder - Preset: Exhaustive (sec)",LIB,447.99,449.37,449.90 "LeelaChessZero - Backend: OpenCL (Nodes/s)",HIB,13277,13173,13416 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,63909,63822,64033 "VkFFT - (Benchmark Score)",HIB,25820,25647,25683 "DDraceNetwork - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 (FPS)",HIB,158.21,100.58,130.66 "GROMACS - Water Benchmark (Ns/Day)",HIB,0.617,0.610,0.614 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,15984719,15974611,16180674 "Stockfish - Total Time (Nodes/s)",HIB,9703133,9839292,9629353 "Unigine Heaven - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL (FPS)",HIB,139.126,139.905,139.184 "Blender - Blend File: Classroom - Compute: CUDA (sec)",LIB,250.78,251.90,251.80 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,86.08,85.83,85.95 "Build2 - Time To Compile (sec)",LIB,210.051,210.712,210.945 "Numpy Benchmark - (Score)",HIB,419.58,419.36,417.03 "Blender - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX (sec)",LIB,196.21,196.28,196.41 "High Performance Conjugate Gradient - (GFLOP/s)",HIB,3.96177,3.96068,3.95457 "Unigine Superposition - Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Ultra - Renderer: OpenGL (FPS)",HIB,25.1,25.4,25.3 "Unigine Superposition - Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: High - Renderer: OpenGL (FPS)",HIB,65.9,66.5,66.2 "Unigine Superposition - Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGL (FPS)",HIB,90.4,90.6,90.5 "Unigine Superposition - Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGL (FPS)",HIB,177.7,178.1,177.4 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,207,207,207 "CLOMP - Static OMP Speedup (Speedup)",HIB,3.7,2.5,3.6 "Blender - Blend File: Fishy Cat - Compute: CUDA (sec)",LIB,168.87,167.96,168.08 "Warsow - Resolution: 1920 x 1080 (FPS)",HIB,955.6,967.9,968.6 "LuxCoreRender OpenCL - Scene: LuxCore Benchmark (M samples/sec)",HIB,2.26,2.31,2.29 "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,4660197,4670567,4677473 "TensorFlow Lite - Model: Inception V4 (us)",LIB,5163190,5168183,5178263 "LuxCoreRender OpenCL - Scene: Food (M samples/sec)",HIB,1.27,1.32,1.30 "Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,151.656,152.208,151.478 "OctaneBench - Total Score (Score)",HIB,189.085068,189.101719,189.316553 "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (ms)",LIB,5069.44,5079.89,5073.09 "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (FPS)",HIB,0.79,0.79,0.79 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,489.84,486.46,487.57 "LuxCoreRender OpenCL - Scene: DLSC (M samples/sec)",HIB,2.70,2.77,2.76 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,7.0735,6.9794,6.9976 "Blender - Blend File: Classroom - Compute: NVIDIA OptiX (sec)",LIB,116.76,116.15,116.26 "Basis Universal - Settings: UASTC Level 3 (sec)",LIB,110.838,110.926,111.040 "FAHBench - (Ns/Day)",HIB,186.4611,186.4777,186.6158 "Timed HMMer Search - Pfam Database Search (sec)",LIB,105.526,105.572,105.505 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,6.0806,6.0989,6.0641 "RealSR-NCNN - Scale: 4x - TAA: Yes (sec)",LIB,99.812,100.617,100.748 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,100.257,100.397,100.203 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7140.50,7159.42,7151.58 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,7155.41,7159.48,7169.03 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7144.23,7154.66,7147.09 "Blender - Blend File: BMW27 - Compute: NVIDIA OptiX (sec)",LIB,41.47,38.07,38.07 "Blender - Blend File: BMW27 - Compute: CUDA (sec)",LIB,91.00,90.82,90.93 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,28.8,28.7,28.8 "GEGL - Operation: Cartoon (sec)",LIB,86.789,87.319,86.993 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.17,1.19,1.19 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,3442.78,3403.45,3405.92 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,3795.02,3797.05,3797.72 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3795.81,3800.41,3798.12 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3797.32,3799.45,3792.87 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,19.16,18.91,19.38 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,27.64,27.51,27.63 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,35.95,35.59,35.66 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,37.81,37.30,37.22 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,15.50,15.46,15.49 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,18.62,18.71,18.66 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,72.09,71.91,71.86 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,19.98,20.01,20.21 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.54,2.60,2.57 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,10.00,9.05,9.06 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,6.67,5.96,5.96 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,7.93,6.95,7.03 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.74,5.81,5.81 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,7.31,7.22,7.23 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,26.62,26.63,26.53 "NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,19.16,17.15,17.60 "NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,27.58,27.52,27.55 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,35.52,35.51,35.53 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,37.25,37.34,37.26 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,15.44,15.53,15.50 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,18.62,18.33,18.38 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,71.96,71.82,71.86 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,20.05,18.20,18.26 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,2.55,2.29,2.29 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,10.01,9.02,8.99 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,6.63,5.86,5.91 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,7.92,6.98,7.05 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.74,5.73,5.81 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,7.23,7.22,7.19 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,26.52,26.53,26.51 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,7.5555,7.5656,7.5496 "RawTherapee - Total Benchmark Time (sec)",LIB,80.586,80.934,80.712 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (ms)",LIB,1.21,1.23,1.22 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (FPS)",HIB,3363.55,3307.53,3347.93 "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (ms)",LIB,3202.53,3207.35,3212.10 "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (FPS)",HIB,1.26,1.27,1.27 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,112.75,112.03,112.65 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (ms)",LIB,4961.99,4978.25,5006.34 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (FPS)",HIB,0.80,0.80,0.80 "Timed Eigen Compilation - Time To Compile (sec)",LIB,68.744,67.543,68.699 "LZ4 Compression - Compression Level: 9 - Decompression Speed (MB/s)",HIB,9679.8,9664.8,9695.2 "LZ4 Compression - Compression Level: 9 - Compression Speed (MB/s)",HIB,55.72,56.07,57.01 "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (ms)",LIB,3165.24,3166.57,3164.51 "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (FPS)",HIB,1.28,1.28,1.28 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,9.1343,9.2596,9.1967 "LZ4 Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,9676.3,9653.7,9685.2 "LZ4 Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,57.88,57.36,58.89 "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,13.06,13.17,13.18 "simdjson - Throughput Test: Kostya (GB/s)",HIB,0.76,0.75,0.75 "DDraceNetwork - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: Multeasymap - Total Frame Time (Milliseconds)",LIB,2.43,2.46,2.39 "DDraceNetwork - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: Multeasymap (FPS)",HIB,413.88,412.43,412.38 "LevelDB - Benchmark: Seek Random (us/Op)",LIB,12.694,12.629,12.644 "Blender - Blend File: Fishy Cat - Compute: NVIDIA OptiX (sec)",LIB,60.35,60.18,60.25 "IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s)",HIB,0.939,0.938,0.935 "IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s)",HIB,2.147,2.150,2.156 "TensorFlow Lite - Model: SqueezeNet (us)",LIB,354892,356034,356258 "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,236716,237129,237406 "TensorFlow Lite - Model: NASNet Mobile (us)",LIB,302594,304756,304079 "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,239119,239224,239537 "DDraceNetwork - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time (Milliseconds)",LIB,2.3,2.32,2.32 "DDraceNetwork - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap (FPS)",HIB,435.20,429.37,434.24 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,72,72,73 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,115,115,115 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,146,147,147 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,552,551,551 "GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,775,774,776 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,902,875,900 "ASTC Encoder - Preset: Thorough (sec)",LIB,54.29,54.38,54.65 "Basis Universal - Settings: ETC1S (sec)",LIB,57.824,58.063,58.062 "GEGL - Operation: Wavelet Blur (sec)",LIB,57.993,57.950,57.843 "rav1e - Speed: 1 (FPS)",HIB,0.347,0.346,0.347 "DeepSpeech - Acceleration: CPU (sec)",LIB,81.29517,81.07316,81.03983 "LuxCoreRender OpenCL - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,5.30,5.39,5.41 "rav1e - Speed: 5 (FPS)",HIB,1.069,1.064,1.064 "Basis Universal - Settings: UASTC Level 2 (sec)",LIB,55.499,55.742,55.766 "ASTC Encoder - Preset: Medium (sec)",LIB,7.68,7.61,7.58 "GEGL - Operation: Color Enhance (sec)",LIB,54.114,54.312,54.101 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,0.5,0.5,0.5 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,0.86,0.87,0.86 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,0.89,0.88,0.88 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,49.547,50.268,50.261 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,10.497,10.564,10.608 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,223414.807558,223304.983286,223892.444726 "LevelDB - Benchmark: Random Read (us/Op)",LIB,9.620,9.692,9.573 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,460.02,459.61,459.71 "rav1e - Speed: 6 (FPS)",HIB,1.444,1.440,1.443 "PlaidML - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL (FPS)",HIB,110.07,109.98,109.99 "VkResample - Upscale: 2x - Precision: Double (ms)",LIB,256.867,257.062,257.615 "GEGL - Operation: Rotate 90 Degrees (sec)",LIB,37.697,37.541,37.691 "GEGL - Operation: Antialias (sec)",LIB,36.556,36.557,36.646 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,26.474,27.178,27.713 "Cryptsetup - Twofish-XTS 512b Encryption (MiB/s)",HIB,483.0,486.4,483.8 "Cryptsetup - Twofish-XTS 512b Decryption (MiB/s)",HIB,482.7,485.7,483.0 "Cryptsetup - Serpent-XTS 512b Decryption (MiB/s)",HIB,871.7,878.1,873.5 "Cryptsetup - Serpent-XTS 512b Encryption (MiB/s)",HIB,878.0,882.1,874.4 "Cryptsetup - AES-XTS 512b Decryption (MiB/s)",HIB,3348.3,3388.5,3362.9 "Cryptsetup - AES-XTS 512b Encryption (MiB/s)",HIB,3346.8,3381.9,3336.0 "Cryptsetup - Twofish-XTS 256b Decryption (MiB/s)",HIB,482.5,486.3,483.0 "Cryptsetup - Twofish-XTS 256b Encryption (MiB/s)",HIB,482.0,487.4,483.6 "Cryptsetup - Serpent-XTS 256b Decryption (MiB/s)",HIB,872.3,876.6,870.9 "Cryptsetup - Serpent-XTS 256b Encryption (MiB/s)",HIB,874.1,881.4,874.1 "Cryptsetup - AES-XTS 256b Decryption (MiB/s)",HIB,4002.4,4055.1,4026.9 "Cryptsetup - AES-XTS 256b Encryption (MiB/s)",HIB,4005.6,4080.5,4023.0 "Cryptsetup - PBKDF2-whirlpool (Iterations/sec)",HIB,816282,830020,810352 "Cryptsetup - PBKDF2-sha512 (Iterations/sec)",HIB,1919349,1943008,1886103 "LevelDB - Benchmark: Sequential Fill (us/Op)",LIB,47.235,47.287,47.415 "LevelDB - Benchmark: Sequential Fill (MB/s)",HIB,37.5,37.4,37.3 "LevelDB - Benchmark: Random Delete (us/Op)",LIB,47.228,47.296,47.388 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,321.420,295.547,299.396 "clpeak - OpenCL Test: Double-Precision Double (GFLOPS)",HIB,340.42,340.46,340.59 "Darktable - Test: Masskrug - Acceleration: CPU-only (sec)",LIB,7.128,7.150,7.155 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,7.16575,7.04404,7.14574 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.17762,3.16769,3.11291 "GEGL - Operation: Scale (sec)",LIB,6.954,6.973,7.000 "LZ4 Compression - Compression Level: 1 - Decompression Speed (MB/s)",HIB,9823.2,9839.9,9810.0 "LZ4 Compression - Compression Level: 1 - Compression Speed (MB/s)",HIB,8120.67,8127.78,8079.18 "Zstd Compression - Compression Level: 3 (MB/s)",HIB,2833.6,2831.0,2835.1 "GEGL - Operation: Reflect (sec)",LIB,28.183,28.496,28.313 "GEGL - Operation: Tile Glass (sec)",LIB,28.243,28.242,28.055 "GEGL - Operation: Crop (sec)",LIB,8.900,8.839,8.826 "rav1e - Speed: 10 (FPS)",HIB,3.422,3.404,3.420 "NAMD CUDA - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.22103,0.22238,0.22171 "Redis - Test: SADD (Reqs/sec)",HIB,2660539.42,2628039.25,2634908.83 "PHPBench - PHP Benchmark Suite (Score)",HIB,837911,832417,829705 "RNNoise - (sec)",LIB,22.084,21.316,22.044 "Unpacking Firefox - Extracting: firefox-84.0.source.tar.xz (sec)",LIB,16.028,16.137,16.103 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,5.198,5.169,5.179 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,8.96782,9.00692,9.06628 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,9.77594,9.76468,9.73732 "Inkscape - Operation: SVG Files To PNG (sec)",LIB,20.996,21.048,21.068 "Redis - Test: LPOP (Reqs/sec)",HIB,3394660.2,2104092.33,2809233.48 "Crafty - Elapsed Time (Nodes/s)",HIB,9497414,9584148,9560012 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,272.907,264.948,272.676 "Monkey Audio Encoding - WAV To APE (sec)",LIB,10.512,10.861,10.592 "Betsy GPU Compressor - Codec: ETC2 RGB - Quality: Highest (sec)",LIB,8.016,7.912,7.903 "Darktable - Test: Boat - Acceleration: CPU-only (sec)",LIB,15.914,15.870,15.863 "RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,14.734,14.656,14.694 "Hashcat - Benchmark: SHA-512 (H/s)",HIB,1023100000,1020000000,1016800000 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.74772,4.71457,4.73728 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,9.87893,9.77701,9.81238 "yquake2 - Renderer: OpenGL 1.x - Resolution: 1920 x 1080 (FPS)",HIB,59.9,59.9,59.9 "yquake2 - Renderer: OpenGL 3.x - Resolution: 1920 x 1080 (FPS)",HIB,60,60,60 "Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,7.624,7.602,7.616 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,4.36381,4.37852,4.38535 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.45564,4.47062,4.46656 "Redis - Test: LPUSH (Reqs/sec)",HIB,2041750.08,2094056.31,2083566.29 "Betsy GPU Compressor - Codec: ETC1 - Quality: Highest (sec)",LIB,5.854,5.789,5.792 "yquake2 - Renderer: Software CPU - Resolution: 1920 x 1080 (FPS)",HIB,60.7,60.7,60.6 "VkResample - Upscale: 2x - Precision: Single (ms)",LIB,24.992,25.190,25.225 "ASTC Encoder - Preset: Fast (sec)",LIB,5.44,5.59,5.63 "PlaidML - FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL (FPS)",HIB,463.34,477.39,478.73 "Redis - Test: SET (Reqs/sec)",HIB,2375800.25,2413657.0,2433543.8 "Redis - Test: GET (Reqs/sec)",HIB,3248596.08,3012560.83,3009326.75 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.72558,2.77670,2.74874 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,12.4721,12.4447,12.6089 "clpeak - OpenCL Test: Integer Compute INT (GIOPS)",HIB,5504.35,5519.39,5540.44 "Basis Universal - Settings: UASTC Level 0 (sec)",LIB,7.288,7.345,7.353 "LevelDB - Benchmark: Hot Read (us/Op)",LIB,6.946,7.099,7.128 "Rodinia - Test: OpenCL Particle Filter (sec)",LIB,7.115,7.055,7.027 "Hashcat - Benchmark: TrueCrypt RIPEMD160 + XTS (H/s)",HIB,301233,301433,298133 "Hashcat - Benchmark: SHA1 (H/s)",HIB,8585766667,8544500000,8535333333 "Hashcat - Benchmark: MD5 (H/s)",HIB,24334866667,24260200000,24196900000 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,18.0080,17.9035,18.0326 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,21.6871,21.6992,21.6210 "cl-mem - Benchmark: Write (GB/s)",HIB,215.7,215.6,214.8 "cl-mem - Benchmark: Copy (GB/s)",HIB,236.6,235.4,235.1 "cl-mem - Benchmark: Read (GB/s)",HIB,330.3,329.9,329.9 "PlaidML - FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL (FPS)",HIB,1819.24,1823.06,1817.78 "Waifu2x-NCNN Vulkan - Scale: 2x - Denoise: 3 - TAA: Yes (sec)",LIB,6.020,6.102,6.093 "PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL (FPS)",HIB,1246.78,1244.95,1247.93 "Darktable - Test: Server Room - Acceleration: CPU-only (sec)",LIB,4.181,4.174,4.178 "NeatBench - Acceleration: GPU (FPS)",HIB,27.5,27.1,27.6 "LevelDB - Benchmark: Random Fill (us/Op)",LIB,41.037,41.027,40.981 "LevelDB - Benchmark: Random Fill (MB/s)",HIB,43.1,43.1,43.2 "LevelDB - Benchmark: Overwrite (us/Op)",LIB,40.925,40.955,40.760 "LevelDB - Benchmark: Overwrite (MB/s)",HIB,43.2,43.2,43.4 "MandelGPU - OpenCL Device: GPU (Samples/sec)",HIB,251986408.7,252826584.8,252822614.4 "clpeak - OpenCL Test: Single-Precision Float (GFLOPS)",HIB,5940.64,5858.32,5892.70 "LevelDB - Benchmark: Fill Sync (us/Op)",LIB,3361.777,3424.918,3386.084 "LevelDB - Benchmark: Fill Sync (MB/s)",HIB,0.5,0.5,0.5 "ArrayFire - Test: Conjugate Gradient OpenCL (ms)",LIB,2.549,2.531,2.548 "Hashcat - Benchmark: 7-Zip (H/s)",HIB,373667,370400,366433 "ViennaCL - OpenCL LU Factorization (GFLOPS)",HIB,68.2924,64.2335,65.9180 "clpeak - OpenCL Test: Global Memory Bandwidth (GBPS)",HIB,324.63,324.58,324.78 "Darktable - Test: Server Rack - Acceleration: CPU-only (sec)",LIB,0.181,0.181,0.181 "FinanceBench - Benchmark: Black-Scholes OpenCL (ms)",LIB,17.477667,17.476,17.476333