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
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January 05 2021
  21 Hours, 8 Minutes
r3
January 06 2021
  20 Hours, 49 Minutes
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HP Zbook Suite 1.0.0 System Test suite extracted from HP Zbook. pts/leveldb-1.0.2 --benchmarks=readhot --num=1000000 Benchmark: Hot Read pts/leveldb-1.0.2 --benchmarks=fillsync --num=1000000 Benchmark: Fill Sync pts/leveldb-1.0.2 --benchmarks=overwrite --num=100000 Benchmark: Overwrite pts/leveldb-1.0.2 --benchmarks=fillrandom --num=100000 Benchmark: Random Fill pts/leveldb-1.0.2 --benchmarks=readrandom --num=1000000 Benchmark: Random Read pts/leveldb-1.0.2 --benchmarks=seekrandom --num=1000000 Benchmark: Seek Random pts/leveldb-1.0.2 --benchmarks=deleterandom --num=500000 Benchmark: Random Delete pts/leveldb-1.0.2 --benchmarks=fillseq --num=500000 Benchmark: Sequential Fill pts/realsr-ncnn-1.0.0 -s 4 Scale: 4x - TAA: No pts/realsr-ncnn-1.0.0 -s 4 -x Scale: 4x - TAA: Yes pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 -x Scale: 2x - Denoise: 3 - TAA: Yes pts/vkfft-1.1.0 pts/hashcat-1.0.0 -m 0 Benchmark: MD5 pts/hashcat-1.0.0 -m 100 Benchmark: SHA1 pts/hashcat-1.0.0 -m 11600 Benchmark: 7-Zip pts/hashcat-1.0.0 -m 1700 Benchmark: SHA-512 pts/hashcat-1.0.0 -m 6211 Benchmark: TrueCrypt RIPEMD160 + XTS pts/financebench-1.0.0 Black-Scholes/OpenCL/blackScholesAnalyticEngine.exe Benchmark: Black-Scholes OpenCL pts/viennacl-1.0.0 OpenCL LU Factorization pts/cl-mem-1.0.1 COPY Benchmark: Copy pts/cl-mem-1.0.1 READ Benchmark: Read pts/cl-mem-1.0.1 WRITE Benchmark: Write pts/namd-cuda-1.1.1 ATPase Simulation - 327,506 Atoms pts/betsy-1.0.0 --codec=etc1 --quality=2 Codec: ETC1 - Quality: Highest pts/betsy-1.0.0 --codec=etc2_rgb --quality=2 Codec: ETC2 RGB - Quality: Highest pts/vkresample-1.0.0 -u 2 -p 1 Upscale: 2x - Precision: Double pts/vkresample-1.0.0 -u 2 -p 0 Upscale: 2x - Precision: Single pts/ddnet-1.0.1 "gfx_screen_width 1920" "gfx_screen_height 1080" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 0" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/RaiNyMore2_bench.demo" Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: RaiNyMore2 pts/ddnet-1.0.1 "gfx_screen_width 1920" "gfx_screen_height 1080" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/RaiNyMore2_bench.demo" Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 pts/ddnet-1.0.1 "gfx_screen_width 1920" "gfx_screen_height 1080" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 0" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/Multeasymap_bench.demo" Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: Multeasymap pts/ddnet-1.0.1 "gfx_screen_width 1920" "gfx_screen_height 1080" "gfx_fullscreen 1" "gfx_opengl_major 3" "gfx_opengl_minor 3" "gfx_opengl_patch 0" "cl_default_zoom 10" "play demos/Multeasymap_bench.demo" Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap pts/unigine-heaven-1.6.5 -video_width 1920 -video_height 1080 -video_fullscreen 1 -video_app opengl Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL pts/unigine-super-1.0.7 -video_width 1920 -video_height 1080 -video_fullscreen 1 -shaders_quality 0 -textures_quality 0 -video_app opengl Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGL pts/unigine-super-1.0.7 -video_width 1920 -video_height 1080 -video_fullscreen 1 -shaders_quality 2 -textures_quality 2 -video_app opengl Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: High - Renderer: OpenGL pts/unigine-super-1.0.7 -video_width 1920 -video_height 1080 -video_fullscreen 1 -shaders_quality 3 -textures_quality 2 -video_app opengl Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Ultra - Renderer: OpenGL pts/unigine-super-1.0.7 -video_width 1920 -video_height 1080 -video_fullscreen 1 -shaders_quality 1 -textures_quality 1 -video_app opengl Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGL pts/warsow-1.6.0 +vid_width 1920 +vid_height 1080 Resolution: 1920 x 1080 pts/yquake2-1.0.1 +set vid_renderer gl1 +set r_mode 21 Renderer: OpenGL 1.x - Resolution: 1920 x 1080 pts/yquake2-1.0.1 +set vid_renderer gl3 +set r_mode 21 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 pts/yquake2-1.0.1 +set vid_renderer soft +set r_mode 21 Renderer: Software CPU - Resolution: 1920 x 1080 pts/octanebench-1.3.0 Total Score pts/redshift-1.0.1 pts/luxcorerender-cl-1.2.0 DLSC/LuxCoreScene/render.cfg Scene: DLSC pts/luxcorerender-cl-1.2.0 Food/LuxCoreScene/render.cfg Scene: Food pts/luxcorerender-cl-1.2.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg Scene: LuxCore Benchmark pts/luxcorerender-cl-1.2.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg Scene: Rainbow Colors and Prism pts/fahbench-1.0.2 pts/hpcg-1.2.1 pts/lczero-1.5.1 -b opencl Backend: OpenCL pts/rodinia-1.3.1 OCL_PARTICLEFILTER Test: OpenCL Particle Filter pts/clomp-1.1.1 Static OMP Speedup pts/hmmer-1.2.2 Pfam Database Search pts/mafft-1.6.2 Multiple Sequence Alignment - LSU RNA pts/lammps-1.3.0 in.rhodo Model: Rhodopsin Protein pts/simdjson-1.1.1 Kostya Throughput Test: Kostya pts/simdjson-1.1.1 LargeRandom Throughput Test: LargeRandom pts/simdjson-1.1.1 PartialTweets Throughput Test: PartialTweets pts/simdjson-1.1.1 DistinctUserID Throughput Test: DistinctUserID pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Compression Speed pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Decompression Speed pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Compression Speed pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Decompression Speed pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Compression Speed pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Decompression Speed pts/compress-zstd-1.2.1 -b3 Compression Level: 3 pts/compress-zstd-1.2.1 -b19 Compression Level: 19 pts/crafty-1.4.5 Elapsed Time pts/arrayfire-1.1.0 cg_opencl Test: Conjugate Gradient OpenCL pts/graphics-magick-2.0.2 -swirl 90 Operation: Swirl pts/graphics-magick-2.0.2 -rotate 90 Operation: Rotate pts/graphics-magick-2.0.2 -sharpen 0x2.0 Operation: Sharpen pts/graphics-magick-2.0.2 -enhance Operation: Enhanced pts/graphics-magick-2.0.2 -resize 50% Operation: Resizing pts/graphics-magick-2.0.2 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/graphics-magick-2.0.2 -colorspace HWB Operation: HWB Color Space pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.6.1 --matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU pts/dav1d-1.7.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/dav1d-1.7.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/dav1d-1.7.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/dav1d-1.7.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/embree-1.1.1 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/embree-1.1.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/embree-1.1.1 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/embree-1.1.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/rav1e-1.4.0 -s 1 -l 20 Speed: 1 pts/rav1e-1.4.0 -s 5 -l 60 Speed: 5 pts/rav1e-1.4.0 -s 6 -l 60 Speed: 6 pts/rav1e-1.4.0 -s 10 -l 90 Speed: 10 pts/coremark-1.0.1 CoreMark Size 666 - Iterations Per Second pts/stockfish-1.2.0 Total Time pts/asmfish-1.1.2 1024 Hash Memory, 26 Depth pts/build-ffmpeg-1.0.2 Time To Compile pts/build-linux-kernel-1.10.2 Time To Compile pts/build2-1.1.0 Time To Compile pts/numpy-1.2.1 pts/build-eigen-1.1.0 Time To Compile pts/deepspeech-1.0.0 CPU Acceleration: CPU pts/encode-ape-1.4.0 WAV To APE pts/encode-opus-1.1.1 WAV To Opus Encode pts/espeak-1.6.1 Text-To-Speech Synthesis pts/rnnoise-1.0.2 pts/node-web-tooling-1.0.0 system/cryptsetup-1.0.1 PBKDF2-sha512 system/cryptsetup-1.0.1 PBKDF2-whirlpool system/cryptsetup-1.0.1 AES-XTS 256b Encryption system/cryptsetup-1.0.1 AES-XTS 256b Decryption system/cryptsetup-1.0.1 Serpent-XTS 256b Encryption system/cryptsetup-1.0.1 Serpent-XTS 256b Decryption system/cryptsetup-1.0.1 Twofish-XTS 256b Encryption system/cryptsetup-1.0.1 Twofish-XTS 256b Decryption system/cryptsetup-1.0.1 AES-XTS 512b Encryption system/cryptsetup-1.0.1 AES-XTS 512b Decryption system/cryptsetup-1.0.1 Serpent-XTS 512b Encryption system/cryptsetup-1.0.1 Serpent-XTS 512b Decryption system/cryptsetup-1.0.1 Twofish-XTS 512b Decryption system/cryptsetup-1.0.1 Twofish-XTS 512b Encryption pts/gromacs-1.4.1 Water Benchmark pts/tensorflow-lite-1.0.0 --graph=squeezenet.tflite Model: SqueezeNet pts/tensorflow-lite-1.0.0 --graph=inception_v4.tflite Model: Inception V4 pts/tensorflow-lite-1.0.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/tensorflow-lite-1.0.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/astcenc-1.0.2 -fast Preset: Fast pts/astcenc-1.0.2 -medium Preset: Medium pts/astcenc-1.0.2 -thorough Preset: Thorough pts/astcenc-1.0.2 -exhaustive Preset: Exhaustive pts/basis-1.0.2 Settings: ETC1S pts/basis-1.0.2 -uastc -uastc_level 0 Settings: UASTC Level 0 pts/basis-1.0.2 -uastc -uastc_level 2 Settings: UASTC Level 2 pts/basis-1.0.2 -uastc -uastc_level 3 Settings: UASTC Level 3 pts/basis-1.0.2 -uastc -uastc_level 2 -uastc_rdo_q .75 Settings: UASTC Level 2 + RDO Post-Processing pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 system/darktable-1.0.5 bench.SRW output.jpg --core -d perf --disable-opencl Test: Boat - Acceleration: CPU-only system/darktable-1.0.5 masskrug.NEF output.jpg --core -d perf --disable-opencl Test: Masskrug - Acceleration: CPU-only system/darktable-1.0.5 server-rack.dng output.jpg --core -d perf --disable-opencl Test: Server Rack - Acceleration: CPU-only system/darktable-1.0.5 server_room.NEF output.jpg --core -d perf --disable-opencl Test: Server Room - Acceleration: CPU-only system/gegl-1.0.0 crop x=100 y=100 width=1920 height=1080 Operation: Crop system/gegl-1.0.0 scale-size x=400 y=400 Operation: Scale system/gegl-1.0.0 cartoon Operation: Cartoon system/gegl-1.0.0 reflect Operation: Reflect system/gegl-1.0.0 antialias Operation: Antialias system/gegl-1.0.0 tile-glass tile-width=20 tile-height=20 Operation: Tile Glass system/gegl-1.0.0 wavelet-blur Operation: Wavelet Blur system/gegl-1.0.0 color-enhance Operation: Color Enhance system/gegl-1.0.0 rotate-on-center degrees=90 Operation: Rotate 90 Degrees system/inkscape-1.0.0 Operation: SVG Files To PNG system/rawtherapee-1.0.1 Total Benchmark Time pts/redis-1.3.0 -t lpop Test: LPOP pts/redis-1.3.0 -t sadd Test: SADD pts/redis-1.3.0 -t lpush Test: LPUSH pts/redis-1.3.0 -t get Test: GET pts/redis-1.3.0 -t set Test: SET pts/mnn-1.0.1 Model: SqueezeNetV1.0 pts/mnn-1.0.1 Model: resnet-v2-50 pts/mnn-1.0.1 Model: MobileNetV2_224 pts/mnn-1.0.1 Model: mobilenet-v1-1.0 pts/mnn-1.0.1 Model: inception-v3 pts/ncnn-1.1.0 -1 Target: CPU - Model: mobilenet pts/ncnn-1.1.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.1.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.1.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.1.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.1.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.1.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.1.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.1.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.1.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.1.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.1.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.1.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.1.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.1.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.1.0 Target: Vulkan GPU - Model: mobilenet pts/ncnn-1.1.0 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.1.0 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.1.0 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.1.0 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.1.0 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.1.0 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.1.0 Target: Vulkan GPU - Model: squeezenet_ssd pts/ncnn-1.1.0 Target: Vulkan GPU - Model: regnety_400m pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/plaidml-1.0.4 --no-fp16 --no-train imdb_lstm OPENCL FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train mobilenet OPENCL FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/plaidml-1.0.4 --fp16 --no-train mobilenet OPENCL FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train densenet201 OPENCL FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL pts/openvino-1.0.4 -m models/intel/face-detection-0106/FP16/face-detection-0106.xml -d CPU Model: Face Detection 0106 FP16 - Device: CPU pts/openvino-1.0.4 -m models/intel/face-detection-0106/FP32/face-detection-0106.xml -d CPU Model: Face Detection 0106 FP32 - Device: CPU pts/openvino-1.0.4 -m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU Model: Person Detection 0106 FP16 - Device: CPU pts/openvino-1.0.4 -m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU Model: Person Detection 0106 FP32 - Device: CPU pts/openvino-1.0.4 -m models/intel/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU pts/openvino-1.0.4 -m models/intel/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU pts/indigobench-1.1.0 --cpuonly --scenes bedroom Acceleration: CPU - Scene: Bedroom pts/indigobench-1.1.0 --cpuonly --scenes supercar Acceleration: CPU - Scene: Supercar pts/blender-1.8.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: BMW27 - Compute: CUDA pts/blender-1.8.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Classroom - Compute: CUDA pts/blender-1.8.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Fishy Cat - Compute: CUDA pts/blender-1.8.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Barbershop - Compute: CUDA pts/blender-1.8.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: BMW27 - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Classroom - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Fishy Cat - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Barbershop - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Pabellon Barcelona - Compute: CUDA pts/blender-1.8.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX pts/mandelgpu-1.3.1 0 1 OpenCL Device: GPU pts/clpeak-1.0.1 --compute-integer OpenCL Test: Integer Compute INT pts/clpeak-1.0.1 --compute-sp OpenCL Test: Single-Precision Float pts/clpeak-1.0.1 --compute-dp OpenCL Test: Double-Precision Double pts/clpeak-1.0.1 --global-bandwidth OpenCL Test: Global Memory Bandwidth pts/neatbench-1.0.4 gpu Acceleration: GPU pts/ai-benchmark-1.0.1 Device Inference Score pts/ai-benchmark-1.0.1 Device Training Score pts/ai-benchmark-1.0.1 Device AI Score pts/phpbench-1.1.6 PHP Benchmark Suite pts/unpack-firefox-1.0.0 Extracting: firefox-84.0.source.tar.xz pts/brl-cad-1.1.2 VGR Performance Metric