tgl tgl

Intel Core i7-1185G7 testing with a Dell XPS 13 9310 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 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 2402202-NE-TGLTGL07808
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C/C++ Compiler Tests 2 Tests
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HPC - High Performance Computing 5 Tests
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Machine Learning 3 Tests
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NVIDIA GPU Compute 3 Tests
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February 20
  6 Hours, 53 Minutes
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February 20
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February 20
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tgl tgl Suite 1.0.0 System Test suite extracted from tgl tgl. pts/libplacebo-1.2.0 Test: hdr_peakdetect pts/dav1d-1.15.1 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/onnx-1.17.0 bertsquad-12/bertsquad-12.onnx -e cpu -P Model: bertsquad-12 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 resnet100/resnet100.onnx -e cpu -P Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 fcn-resnet101-11/model.onnx -e cpu -P Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 yolov4/yolov4.onnx -e cpu -P Model: yolov4 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 FasterRCNN-12-int8/FasterRCNN-12-int8.onnx -e cpu -P Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 fcn-resnet101-11/model.onnx -e cpu Model: fcn-resnet101-11 - Device: CPU - Executor: Standard pts/dav1d-1.15.1 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/onnx-1.17.0 resnet100/resnet100.onnx -e cpu Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard pts/onnx-1.17.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU - Executor: Standard pts/onnx-1.17.0 bertsquad-12/bertsquad-12.onnx -e cpu Model: bertsquad-12 - Device: CPU - Executor: Standard pts/onnx-1.17.0 GPT2/model.onnx -e cpu -P Model: GPT-2 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU - Executor: Standard pts/onnx-1.17.0 caffenet-12-int8/caffenet-12-int8.onnx -e cpu Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard pts/onnx-1.17.0 FasterRCNN-12-int8/FasterRCNN-12-int8.onnx -e cpu Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard pts/onnx-1.17.0 super_resolution/super_resolution.onnx -e cpu -P Model: super-resolution-10 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard pts/namd-1.3.1 ../f1atpase/f1atpase.namd Input: ATPase with 327,506 Atoms pts/vkfft-1.3.0 -vkfft 6 Test: FFT + iFFT R2C / C2R pts/onnx-1.17.0 resnet50-v1-12-int8/resnet50-v1-12-int8.onnx -e cpu -P Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel pts/vkfft-1.3.0 -vkfft 3 Test: FFT + iFFT C2C multidimensional in single precision pts/gromacs-1.9.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/vkfft-1.3.0 -vkfft 2 Test: FFT + iFFT C2C 1D batched in half precision pts/onnx-1.17.0 t5-encoder/t5-encoder.onnx -e cpu -P Model: T5 Encoder - Device: CPU - Executor: Parallel pts/dav1d-1.15.1 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/compress-lz4-1.1.0 -b3 -e3 Compression Level: 3 - Compression Speed pts/compress-lz4-1.1.0 -b9 -e9 Compression Level: 9 - Compression Speed pts/cachebench-1.2.0 -b Test: Read / Modify / Write pts/onnx-1.17.0 caffenet-12-int8/caffenet-12-int8.onnx -e cpu -P Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel pts/llama-cpp-1.0.0 -m ../llama-2-7b.Q4_0.gguf Model: llama-2-7b.Q4_0.gguf pts/llamafile-1.0.0 run-llava --gpu DISABLE Test: llava-v1.5-7b-q4 - Acceleration: CPU pts/onnx-1.17.0 resnet50-v1-12-int8/resnet50-v1-12-int8.onnx -e cpu Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard pts/compress-lz4-1.1.0 -b1 -e1 Compression Level: 1 - Decompression Speed pts/onnx-1.17.0 t5-encoder/t5-encoder.onnx -e cpu Model: T5 Encoder - Device: CPU - Executor: Standard pts/compress-lz4-1.1.0 -b3 -e3 Compression Level: 3 - Decompression Speed pts/libplacebo-1.2.0 Test: av1_grain_lap pts/llamafile-1.0.0 run-mistral --gpu DISABLE Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU pts/vkfft-1.3.0 -vkfft 7 Test: FFT + iFFT C2C Bluestein in single precision pts/compress-lz4-1.1.0 -b1 -e1 Compression Level: 1 - Compression Speed pts/dav1d-1.15.1 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/compress-lz4-1.1.0 -b9 -e9 Compression Level: 9 - Decompression Speed pts/cachebench-1.2.0 -w Test: Write pts/libplacebo-1.2.0 Test: deband_heavy pts/libplacebo-1.2.0 Test: hdr_lut pts/namd-1.3.1 ../stmv/stmv.namd Input: STMV with 1,066,628 Atoms pts/libplacebo-1.2.0 Test: polar_nocompute pts/vkfft-1.3.0 -vkfft 5 Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling pts/vkfft-1.3.0 -vkfft 0 Test: FFT + iFFT C2C 1D batched in single precision pts/libplacebo-1.2.0 Test: gaussian pts/cachebench-1.2.0 -r Test: Read pts/llamafile-1.0.0 run-wizardcoder --gpu DISABLE Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU pts/llama-cpp-1.0.0 -m ../llama-2-70b-chat.Q5_0.gguf Model: llama-2-70b-chat.Q5_0.gguf pts/llama-cpp-1.0.0 -m ../llama-2-13b.Q4_0.gguf Model: llama-2-13b.Q4_0.gguf pts/oidn-2.2.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only pts/oidn-2.2.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.2.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/vkfft-1.3.0 -vkfft 8 Test: FFT + iFFT C2C Bluestein benchmark in double precision pts/vkfft-1.3.0 -vkfft 1 Test: FFT + iFFT C2C 1D batched in double precision