1.0.0 System Test suite extracted from Broadwell 2021. pts/vkfft-1.1.0 pts/libplacebo-1.0.0 Test: deband_heavy pts/libplacebo-1.0.0 Test: polar_nocompute pts/libplacebo-1.0.0 Test: hdr_peakdetect pts/libplacebo-1.0.0 Test: av1_grain_lap pts/warsow-1.6.0 +vid_width 1280 +vid_height 1024 Resolution: 1280 x 1024 pts/warsow-1.6.0 +vid_width 1920 +vid_height 1080 Resolution: 1920 x 1080 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 system/cryptsetup-1.0.1 PBKDF2-sha512 system/cryptsetup-1.0.1 PBKDF2-whirlpool pts/coremark-1.0.1 CoreMark Size 666 - Iterations Per Second 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 Encryption system/cryptsetup-1.0.1 Twofish-XTS 512b Decryption pts/node-web-tooling-1.0.0 pts/phpbench-1.1.6 PHP Benchmark Suite pts/clomp-1.1.1 Static OMP Speedup pts/brl-cad-1.1.2 VGR Performance Metric pts/vkmark-1.2.0 --size 800x600 Resolution: 800 x 600 pts/vkmark-1.2.0 --size 1024x768 Resolution: 1024 x 768 pts/vkmark-1.2.0 --size 1280x1024 Resolution: 1280 x 1024 pts/vkmark-1.2.0 --size 1920x1080 Resolution: 1920 x 1080 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/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/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/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/hmmer-1.2.2 Pfam Database Search pts/mafft-1.6.2 Multiple Sequence Alignment - LSU RNA pts/build-ffmpeg-1.0.2 Time To Compile pts/build2-1.1.0 Time To Compile pts/build-eigen-1.1.0 Time To Compile pts/encode-ape-1.4.0 WAV To APE pts/encode-ogg-1.6.1 WAV To Ogg pts/encode-opus-1.1.1 WAV To Opus Encode pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/encode-wavpack-1.4.1 WAV To WavPack pts/unpack-firefox-1.0.0 Extracting: firefox-84.0.source.tar.xz