Intel Core i7-1185G7 testing with a Dell XPS 13 9310 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 8GB on Ubuntu 24.04 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 2408221-NE-NEWA6453334
newa
Intel Core i7-1185G7 testing with a Dell XPS 13 9310 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 8GB on Ubuntu 24.04 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 8GB,Intel Xe TGL GT2 8GB,Intel Xe TGL GT2 8GB
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 24.04,Ubuntu 24.04,Ubuntu 24.04
Kernel,,6.10.0-061000rc4daily20240621-generic (x86_64),6.10.0-061000rc4daily20240621-generic (x86_64),6.10.0-061000rc4daily20240621-generic (x86_64)
Desktop,,GNOME Shell 46.0,GNOME Shell 46.0,GNOME Shell 46.0
Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 24.3~git2407210600.0cc23b~oibaf~n (git-0cc23b6 2024-07-21 noble-oibaf-ppa),4.6 Mesa 24.3~git2407210600.0cc23b~oibaf~n (git-0cc23b6 2024-07-21 noble-oibaf-ppa),4.6 Mesa 24.3~git2407210600.0cc23b~oibaf~n (git-0cc23b6 2024-07-21 noble-oibaf-ppa)
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"
"Build2 - Time To Compile (sec)",LIB,536.821,538.581,539.224
"Etcpak - Benchmark: Multi-Threaded - Configuration: ETC2 (Mpx/s)",HIB,105.936,106.997,107.025
"Mobile Neural Network - Model: nasnet (ms)",LIB,13.789,13.115,13.86
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.712,1.728,1.711
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,3.44,3.495,3.444
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,20.204,20.07,20.248
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,5.716,5.855,5.806
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.592,3.55,3.539
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,4.307,4.309,4.233
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,36.867,36.66,36.935
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,80.9109,74.5841,76.1926
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,12.3509,13.4006,13.1183
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,103.421,104.102,103.236
"ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,9.66051,9.59821,9.67918
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,2.92997,2.92361,2.75465
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,341.296,342.039,363.019
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,4.8719,4.77207,4.88278
"ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,205.255,209.549,204.798
"ONNX Runtime - Model: ZFNet-512 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,33.8638,33.5469,34.0189
"ONNX Runtime - Model: ZFNet-512 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,29.528,29.8069,29.3933
"ONNX Runtime - Model: ZFNet-512 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,52.9115,52.8429,52.7814
"ONNX Runtime - Model: ZFNet-512 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,18.8969,18.9216,18.9432
"ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,89.4618,89.4453,105.74
"ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,11.1764,11.1778,9.45416
"ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences/sec)",HIB,145.385,143.241,142.735
"ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,6.87576,6.97865,7.00365
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,3.89915,4.0094,3.91465
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,256.463,249.411,255.447
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,6.62817,6.6393,6.63286
"ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,150.865,150.612,150.759
"ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,226.993,233.891,233.723
"ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,4.40374,4.27347,4.2768
"ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,327.6,325.387,328.577
"ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,3.05091,3.07148,3.04188
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,0.49448,0.416435,0.507355
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,2022.32,2401.33,1971
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,0.717695,0.732657,0.705358
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,1393.35,1364.89,1417.72
"ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,8.62386,8.8586,8.76598
"ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,115.956,112.883,114.075
"ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,15.4883,15.2241,15.3047
"ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,64.562,65.6826,65.3365
"ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,96.3135,99.9967,103.356
"ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,10.3811,9.99778,9.67201
"ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,118.017,117.672,116.643
"ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,8.47108,8.49614,8.571
"ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,26.9373,27.2706,27.2178
"ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,37.1209,36.667,36.7382
"ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,43.3931,43.5727,42.972
"ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,23.0415,22.946,23.2671
"ONNX Runtime - Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,0.21507,0.196218,0.266239
"ONNX Runtime - Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,4649.64,5096.38,3756.02
"ONNX Runtime - Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,0.28607,0.302547,0.285666
"ONNX Runtime - Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,3495.65,3305.27,3500.58
"ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,21.639,20.1738,20.9705
"ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,46.21,49.5661,47.6832
"ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,33.9052,35.146,33.0444
"ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,29.4904,28.4498,30.2589
"simdjson - Throughput Test: Kostya (GB/s)",HIB,3.54,3.51,3.48
"simdjson - Throughput Test: TopTweet (GB/s)",HIB,7.68,7.7,7.68
"simdjson - Throughput Test: LargeRandom (GB/s)",HIB,1.23,1.23,1.22
"simdjson - Throughput Test: PartialTweets (GB/s)",HIB,7.42,7.45,7.44
"simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,8.08,8.1,8.07
"SVT-AV1 - Encoder Mode: Preset 3 - Input: Bosphorus 4K (FPS)",HIB,1.451,1.452,1.455
"SVT-AV1 - Encoder Mode: Preset 5 - Input: Bosphorus 4K (FPS)",HIB,5.9,5.909,5.945
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,13.418,13.414,13.688
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,48.64,48.4,49.334
"SVT-AV1 - Encoder Mode: Preset 3 - Input: Bosphorus 1080p (FPS)",HIB,5.364,5.372,5.356
"SVT-AV1 - Encoder Mode: Preset 5 - Input: Bosphorus 1080p (FPS)",HIB,20.224,20.189,20.142
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,48.235,48.27,48.212
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,219.801,219.378,219.561
"SVT-AV1 - Encoder Mode: Preset 3 - Input: Beauty 4K 10-bit (FPS)",HIB,0.23,0.23,0.229
"SVT-AV1 - Encoder Mode: Preset 5 - Input: Beauty 4K 10-bit (FPS)",HIB,1.145,1.144,1.146
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Beauty 4K 10-bit (FPS)",HIB,1.642,1.634,1.637
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Beauty 4K 10-bit (FPS)",HIB,4.098,4.219,4.226
"XNNPACK - Model: FP32MobileNetV2 (us)",LIB,2758,2757,2766
"XNNPACK - Model: FP32MobileNetV3Large (us)",LIB,3116,3091,3096
"XNNPACK - Model: FP32MobileNetV3Small (us)",LIB,1068,1067,1069
"XNNPACK - Model: FP16MobileNetV2 (us)",LIB,4696,4678,4685
"XNNPACK - Model: FP16MobileNetV3Large (us)",LIB,4178,4203,4164
"XNNPACK - Model: FP16MobileNetV3Small (us)",LIB,1402,1403,1398
"XNNPACK - Model: QU8MobileNetV2 (us)",LIB,2359,2361,2353
"XNNPACK - Model: QU8MobileNetV3Large (us)",LIB,2149,2161,2153
"XNNPACK - Model: QU8MobileNetV3Small (us)",LIB,814,814,806
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,58.004,57.944,57.864
"Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,25.727,25.761,25.751