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