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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

C/C++ Compiler Tests 2 Tests
CPU Massive 3 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 5 Tests
Large Language Models 2 Tests
Machine Learning 3 Tests
Molecular Dynamics 2 Tests
Multi-Core 4 Tests
NVIDIA GPU Compute 3 Tests
Python Tests 2 Tests
Scientific Computing 2 Tests
Server CPU Tests 2 Tests
Vulkan Compute 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
February 20
  6 Hours, 53 Minutes
b
February 20
  7 Hours, 20 Minutes
c
February 20
  7 Hours, 18 Minutes
Invert Hiding All Results Option
  7 Hours, 10 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


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. ,,"a","b","c" Processor,,Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads),Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads),Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads) Motherboard,,Dell XPS 13 9310 0DXP1F (3.7.0 BIOS),Dell XPS 13 9310 0DXP1F (3.7.0 BIOS),Dell XPS 13 9310 0DXP1F (3.7.0 BIOS) Chipset,,Intel Tiger Lake-LP,Intel Tiger Lake-LP,Intel Tiger Lake-LP Memory,,8 x 2GB LPDDR4-4267MT/s,8 x 2GB LPDDR4-4267MT/s,8 x 2GB LPDDR4-4267MT/s Disk,,Micron 2300 NVMe 512GB,Micron 2300 NVMe 512GB,Micron 2300 NVMe 512GB Graphics,,Intel Xe TGL GT2 15GB (1350MHz),Intel Xe TGL GT2 15GB (1350MHz),Intel Xe TGL GT2 15GB (1350MHz) Audio,,Realtek ALC289,Realtek ALC289,Realtek ALC289 Network,,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201 OS,,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.7.0-060700rc5-generic (x86_64),6.7.0-060700rc5-generic (x86_64),6.7.0-060700rc5-generic (x86_64) Desktop,,GNOME Shell 45.1,GNOME Shell 45.1,GNOME Shell 45.1 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 24.0~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa),4.6 Mesa 24.0~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa),4.6 Mesa 24.0~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa) OpenCL,,OpenCL 3.0,OpenCL 3.0,OpenCL 3.0 Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200 ,,"a","b","c" "Llama.cpp - Model: llama-2-70b-chat.Q5_0.gguf (Tokens/sec)",HIB,0.03,0.03,0.03 "Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec)",HIB,0.05,0.05,0.05 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.07,0.07,0.07 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,0.573,0.57,0.563 "NAMD - Input: STMV with 1,066,628 Atoms (ns/day)",HIB,0.16793,0.16810,0.16812 "Llamafile - Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU (Tokens/sec)",HIB,4.26,4.28,4.27 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.15,0.15,0.15 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.16,0.16,0.16 "Llama.cpp - Model: llama-2-13b.Q4_0.gguf (Tokens/sec)",HIB,3.84,3.84,3.84 "VkFFT - Test: FFT + iFFT C2C 1D batched in single precision (Benchmark Score)",HIB,7500,7495,7496 "CacheBench - Test: Read / Modify / Write (MB/s)",HIB,103769.795772,104513.363289,104746.114943 "CacheBench - Test: Write (MB/s)",HIB,109630.165987,109813.145754,109693.870056 "CacheBench - Test: Read (MB/s)",HIB,8945.279885,8946.160249,8946.289183 "VkFFT - Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling (Benchmark Score)",HIB,8510,8503,8506 "NAMD - Input: ATPase with 327,506 Atoms (ns/day)",HIB,0.54640,0.55272,0.53465 "Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec)",HIB,7.07,7.09,7.12 "Llama.cpp - Model: llama-2-7b.Q4_0.gguf (Tokens/sec)",HIB,7.37,7.41,7.43 "VkFFT - Test: FFT + iFFT C2C 1D batched in half precision (Benchmark Score)",HIB,13702,13923,13748 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,2123.06,2405.91,2162.65 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,0.471017,0.415642,0.462395 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,1457.41,1326.4,1468.67 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,0.686147,0.753919,0.680886 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,12.2437,12.9464,11.987 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,81.6105,77.2022,83.3538 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,26.9892,26.6926,28.1255 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,37.0478,37.4595,35.5514 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,47.8033,46.2908,43.1113 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,20.9179,21.6011,23.1944 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,345.249,307.283,320.036 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,2.89643,3.25429,3.12461 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,9.47309,9.83571,9.52371 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,105.486,101.597,104.916 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,234.775,206.929,251.442 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,4.25933,4.8325,3.977 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,10.9972,11.1326,11.1641 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,90.9185,89.8118,89.5594 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,100.13,111.351,98.0872 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,9.98691,8.98048,10.1948 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,144.917,156.599,146.226 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,6.90025,6.38547,6.83843 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,197.56,211.427,203.406 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,5.06166,4.72968,4.91617 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,67.0264,61.3135,67.5622 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,14.919,16.309,14.8006 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,6.80604,6.8134,6.77737 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences/sec)",HIB,146.861,146.716,147.496 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,4.17219,4.19665,4.16112 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,239.585,238.164,240.221 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,10.0709,10.1511,10.2724 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,99.2785,98.4877,97.333 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,2.99315,2.85482,3.04357 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,333.924,350.1,328.363 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,7.73997,7.74651,7.78713 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,129.167,129.057,128.378 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,37.0844,35.2102,35.3934 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,26.964,28.3989,28.2518 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,22.0582,21.2551,23.3554 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,45.3275,47.0396,42.8106 "VkFFT - Test: FFT + iFFT C2C Bluestein in single precision (Benchmark Score)",HIB,1112,1116,1111 "Libplacebo - Test: gaussian (FPS)",HIB,370.73,370.69,370.58 "Libplacebo - Test: av1_grain_lap (FPS)",HIB,405.16,405.8,403.9 "Libplacebo - Test: hdr_lut (FPS)",HIB,371.63,371.86,371.35 "Libplacebo - Test: hdr_peakdetect (FPS)",HIB,336.77,254.33,274.71 "Libplacebo - Test: polar_nocompute (FPS)",HIB,151.38,151.42,151.27 "Libplacebo - Test: deband_heavy (FPS)",HIB,78.22,78.16,78.1 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,92.92,102.65,94.69 "VkFFT - Test: FFT + iFFT C2C multidimensional in single precision (Benchmark Score)",HIB,5869,5952,5843 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,296.56,296.79,297.27 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,403.43,405.66,401.11 "LZ4 Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,3850.6,3870.7,3857.8 "LZ4 Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,118.71,119.04,117.87 "LZ4 Compression - Compression Level: 1 - Decompression Speed (MB/s)",HIB,4114.5,4123.5,4139.1 "LZ4 Compression - Compression Level: 1 - Compression Speed (MB/s)",HIB,755.41,754.76,752.43 "LZ4 Compression - Compression Level: 9 - Decompression Speed (MB/s)",HIB,4072.4,4077,4080 "LZ4 Compression - Compression Level: 9 - Compression Speed (MB/s)",HIB,41.13,41.16,40.77 "VkFFT - Test: FFT + iFFT R2C / C2R (Benchmark Score)",HIB,6310,6146,6198 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,325.6,409.89,381.24 "VkFFT - Test: FFT + iFFT C2C Bluestein benchmark in double precision (Benchmark Score)",HIB,,, "VkFFT - Test: FFT + iFFT C2C 1D batched in double precision (Benchmark Score)",HIB,,,