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:
Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell XPS 13 9310 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 8 x 2GB LPDDR4-4267MT/s, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 8GB, Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.3~git2407210600.0cc23b~oibaf~n (git-0cc23b6 2024-07-21 noble-oibaf-ppa), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
b:
Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell XPS 13 9310 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 8 x 2GB LPDDR4-4267MT/s, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 8GB, Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.3~git2407210600.0cc23b~oibaf~n (git-0cc23b6 2024-07-21 noble-oibaf-ppa), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
c:
Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell XPS 13 9310 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 8 x 2GB LPDDR4-4267MT/s, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 8GB, Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.3~git2407210600.0cc23b~oibaf~n (git-0cc23b6 2024-07-21 noble-oibaf-ppa), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
SVT-AV1 2.2
Encoder Mode: Preset 3 - Input: Beauty 4K 10-bit
Frames Per Second > Higher Is Better
a . 0.230 |====================================================================
b . 0.230 |====================================================================
c . 0.229 |====================================================================
SVT-AV1 2.2
Encoder Mode: Preset 3 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 1.451 |====================================================================
b . 1.452 |====================================================================
c . 1.455 |====================================================================
SVT-AV1 2.2
Encoder Mode: Preset 5 - Input: Beauty 4K 10-bit
Frames Per Second > Higher Is Better
a . 1.145 |====================================================================
b . 1.144 |====================================================================
c . 1.146 |====================================================================
SVT-AV1 2.2
Encoder Mode: Preset 8 - Input: Beauty 4K 10-bit
Frames Per Second > Higher Is Better
a . 1.642 |====================================================================
b . 1.634 |====================================================================
c . 1.637 |====================================================================
SVT-AV1 2.2
Encoder Mode: Preset 3 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 5.364 |====================================================================
b . 5.372 |====================================================================
c . 5.356 |====================================================================
Build2 0.17
Time To Compile
Seconds < Lower Is Better
a . 536.82 |===================================================================
b . 538.58 |===================================================================
c . 539.22 |===================================================================
SVT-AV1 2.2
Encoder Mode: Preset 5 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 5.900 |===================================================================
b . 5.909 |====================================================================
c . 5.945 |====================================================================
XNNPACK 2cd86b
Model: QU8MobileNetV3Small
us < Lower Is Better
a . 814 |======================================================================
b . 814 |======================================================================
c . 806 |=====================================================================
XNNPACK 2cd86b
Model: QU8MobileNetV3Large
us < Lower Is Better
a . 2149 |=====================================================================
b . 2161 |=====================================================================
c . 2153 |=====================================================================
XNNPACK 2cd86b
Model: QU8MobileNetV2
us < Lower Is Better
a . 2359 |=====================================================================
b . 2361 |=====================================================================
c . 2353 |=====================================================================
XNNPACK 2cd86b
Model: FP16MobileNetV3Small
us < Lower Is Better
a . 1402 |=====================================================================
b . 1403 |=====================================================================
c . 1398 |=====================================================================
XNNPACK 2cd86b
Model: FP16MobileNetV3Large
us < Lower Is Better
a . 4178 |=====================================================================
b . 4203 |=====================================================================
c . 4164 |====================================================================
XNNPACK 2cd86b
Model: FP16MobileNetV2
us < Lower Is Better
a . 4696 |=====================================================================
b . 4678 |=====================================================================
c . 4685 |=====================================================================
XNNPACK 2cd86b
Model: FP32MobileNetV3Small
us < Lower Is Better
a . 1068 |=====================================================================
b . 1067 |=====================================================================
c . 1069 |=====================================================================
XNNPACK 2cd86b
Model: FP32MobileNetV3Large
us < Lower Is Better
a . 3116 |=====================================================================
b . 3091 |====================================================================
c . 3096 |=====================================================================
XNNPACK 2cd86b
Model: FP32MobileNetV2
us < Lower Is Better
a . 2758 |=====================================================================
b . 2757 |=====================================================================
c . 2766 |=====================================================================
SVT-AV1 2.2
Encoder Mode: Preset 13 - Input: Beauty 4K 10-bit
Frames Per Second > Higher Is Better
a . 4.098 |==================================================================
b . 4.219 |====================================================================
c . 4.226 |====================================================================
Mobile Neural Network 2.9.b11b7037d
Model: inception-v3
ms < Lower Is Better
a . 36.87 |====================================================================
b . 36.66 |===================================================================
c . 36.94 |====================================================================
Mobile Neural Network 2.9.b11b7037d
Model: mobilenet-v1-1.0
ms < Lower Is Better
a . 4.307 |====================================================================
b . 4.309 |====================================================================
c . 4.233 |===================================================================
Mobile Neural Network 2.9.b11b7037d
Model: MobileNetV2_224
ms < Lower Is Better
a . 3.592 |====================================================================
b . 3.550 |===================================================================
c . 3.539 |===================================================================
Mobile Neural Network 2.9.b11b7037d
Model: SqueezeNetV1.0
ms < Lower Is Better
a . 5.716 |==================================================================
b . 5.855 |====================================================================
c . 5.806 |===================================================================
Mobile Neural Network 2.9.b11b7037d
Model: resnet-v2-50
ms < Lower Is Better
a . 20.20 |====================================================================
b . 20.07 |===================================================================
c . 20.25 |====================================================================
Mobile Neural Network 2.9.b11b7037d
Model: squeezenetv1.1
ms < Lower Is Better
a . 3.440 |===================================================================
b . 3.495 |====================================================================
c . 3.444 |===================================================================
Mobile Neural Network 2.9.b11b7037d
Model: mobilenetV3
ms < Lower Is Better
a . 1.712 |===================================================================
b . 1.728 |====================================================================
c . 1.711 |===================================================================
Mobile Neural Network 2.9.b11b7037d
Model: nasnet
ms < Lower Is Better
a . 13.79 |====================================================================
b . 13.12 |================================================================
c . 13.86 |====================================================================
SVT-AV1 2.2
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 13.42 |===================================================================
b . 13.41 |===================================================================
c . 13.69 |====================================================================
SVT-AV1 2.2
Encoder Mode: Preset 5 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 20.22 |====================================================================
b . 20.19 |====================================================================
c . 20.14 |====================================================================
Etcpak 2.0
Benchmark: Multi-Threaded - Configuration: ETC2
Mpx/s > Higher Is Better
a . 105.94 |==================================================================
b . 107.00 |===================================================================
c . 107.03 |===================================================================
SVT-AV1 2.2
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 48.24 |====================================================================
b . 48.27 |====================================================================
c . 48.21 |====================================================================
simdjson 3.10
Throughput Test: DistinctUserID
GB/s > Higher Is Better
a . 8.08 |=====================================================================
b . 8.10 |=====================================================================
c . 8.07 |=====================================================================
simdjson 3.10
Throughput Test: TopTweet
GB/s > Higher Is Better
a . 7.68 |=====================================================================
b . 7.70 |=====================================================================
c . 7.68 |=====================================================================
simdjson 3.10
Throughput Test: PartialTweets
GB/s > Higher Is Better
a . 7.42 |=====================================================================
b . 7.45 |=====================================================================
c . 7.44 |=====================================================================
ONNX Runtime 1.19
Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 4649.64 |============================================================
b . 5096.38 |==================================================================
c . 3756.02 |=================================================
ONNX Runtime 1.19
Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 0.215070 |=====================================================
b . 0.196218 |================================================
c . 0.266239 |=================================================================
ONNX Runtime 1.19
Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 3495.65 |==================================================================
b . 3305.27 |==============================================================
c . 3500.58 |==================================================================
ONNX Runtime 1.19
Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 0.286070 |=============================================================
b . 0.302547 |=================================================================
c . 0.285666 |=============================================================
ONNX Runtime 1.19
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 2022.32 |========================================================
b . 2401.33 |==================================================================
c . 1971.00 |======================================================
ONNX Runtime 1.19
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 0.494480 |===============================================================
b . 0.416435 |=====================================================
c . 0.507355 |=================================================================
ONNX Runtime 1.19
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 1393.35 |=================================================================
b . 1364.89 |================================================================
c . 1417.72 |==================================================================
ONNX Runtime 1.19
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 0.717695 |================================================================
b . 0.732657 |=================================================================
c . 0.705358 |===============================================================
ONNX Runtime 1.19
Model: GPT-2 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 12.35 |===============================================================
b . 13.40 |====================================================================
c . 13.12 |===================================================================
ONNX Runtime 1.19
Model: GPT-2 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 80.91 |====================================================================
b . 74.58 |===============================================================
c . 76.19 |================================================================
simdjson 3.10
Throughput Test: Kostya
GB/s > Higher Is Better
a . 3.54 |=====================================================================
b . 3.51 |====================================================================
c . 3.48 |====================================================================
ONNX Runtime 1.19
Model: bertsquad-12 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 256.46 |===================================================================
b . 249.41 |=================================================================
c . 255.45 |===================================================================
ONNX Runtime 1.19
Model: bertsquad-12 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 3.89915 |================================================================
b . 4.00940 |==================================================================
c . 3.91465 |================================================================
ONNX Runtime 1.19
Model: ZFNet-512 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 29.53 |===================================================================
b . 29.81 |====================================================================
c . 29.39 |===================================================================
ONNX Runtime 1.19
Model: ZFNet-512 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 33.86 |====================================================================
b . 33.55 |===================================================================
c . 34.02 |====================================================================
ONNX Runtime 1.19
Model: yolov4 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 341.30 |===============================================================
b . 342.04 |===============================================================
c . 363.02 |===================================================================
ONNX Runtime 1.19
Model: yolov4 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 2.92997 |==================================================================
b . 2.92361 |==================================================================
c . 2.75465 |==============================================================
ONNX Runtime 1.19
Model: T5 Encoder - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 11.17640 |=================================================================
b . 11.17780 |=================================================================
c . 9.45416 |=======================================================
ONNX Runtime 1.19
Model: T5 Encoder - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 89.46 |=========================================================
b . 89.45 |=========================================================
c . 105.74 |===================================================================
ONNX Runtime 1.19
Model: GPT-2 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 9.66051 |==================================================================
b . 9.59821 |=================================================================
c . 9.67918 |==================================================================
ONNX Runtime 1.19
Model: GPT-2 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 103.42 |===================================================================
b . 104.10 |===================================================================
c . 103.24 |==================================================================
ONNX Runtime 1.19
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 115.96 |===================================================================
b . 112.88 |=================================================================
c . 114.08 |==================================================================
ONNX Runtime 1.19
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 8.62386 |================================================================
b . 8.85860 |==================================================================
c . 8.76598 |=================================================================
ONNX Runtime 1.19
Model: bertsquad-12 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 150.87 |===================================================================
b . 150.61 |===================================================================
c . 150.76 |===================================================================
ONNX Runtime 1.19
Model: bertsquad-12 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 6.62817 |==================================================================
b . 6.63930 |==================================================================
c . 6.63286 |==================================================================
ONNX Runtime 1.19
Model: ZFNet-512 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 18.90 |====================================================================
b . 18.92 |====================================================================
c . 18.94 |====================================================================
ONNX Runtime 1.19
Model: ZFNet-512 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 52.91 |====================================================================
b . 52.84 |====================================================================
c . 52.78 |====================================================================
ONNX Runtime 1.19
Model: yolov4 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 205.26 |==================================================================
b . 209.55 |===================================================================
c . 204.80 |=================================================================
ONNX Runtime 1.19
Model: yolov4 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 4.87190 |==================================================================
b . 4.77207 |=================================================================
c . 4.88278 |==================================================================
Y-Cruncher 0.8.5
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
a . 58.00 |====================================================================
b . 57.94 |====================================================================
c . 57.86 |====================================================================
ONNX Runtime 1.19
Model: T5 Encoder - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 6.87576 |=================================================================
b . 6.97865 |==================================================================
c . 7.00365 |==================================================================
ONNX Runtime 1.19
Model: T5 Encoder - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 145.39 |===================================================================
b . 143.24 |==================================================================
c . 142.74 |==================================================================
ONNX Runtime 1.19
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 64.56 |===================================================================
b . 65.68 |====================================================================
c . 65.34 |====================================================================
ONNX Runtime 1.19
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 15.49 |====================================================================
b . 15.22 |===================================================================
c . 15.30 |===================================================================
ONNX Runtime 1.19
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 46.21 |===============================================================
b . 49.57 |====================================================================
c . 47.68 |=================================================================
ONNX Runtime 1.19
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 21.64 |====================================================================
b . 20.17 |===============================================================
c . 20.97 |==================================================================
ONNX Runtime 1.19
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 29.49 |==================================================================
b . 28.45 |================================================================
c . 30.26 |====================================================================
ONNX Runtime 1.19
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 33.91 |==================================================================
b . 35.15 |====================================================================
c . 33.04 |================================================================
ONNX Runtime 1.19
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 4.40374 |==================================================================
b . 4.27347 |================================================================
c . 4.27680 |================================================================
ONNX Runtime 1.19
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 226.99 |=================================================================
b . 233.89 |===================================================================
c . 233.72 |===================================================================
ONNX Runtime 1.19
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 10.38110 |=================================================================
b . 9.99778 |===============================================================
c . 9.67201 |=============================================================
ONNX Runtime 1.19
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 96.31 |==============================================================
b . 100.00 |=================================================================
c . 103.36 |===================================================================
ONNX Runtime 1.19
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 3.05091 |==================================================================
b . 3.07148 |==================================================================
c . 3.04188 |=================================================================
ONNX Runtime 1.19
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 327.60 |===================================================================
b . 325.39 |==================================================================
c . 328.58 |===================================================================
ONNX Runtime 1.19
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 8.47108 |=================================================================
b . 8.49614 |=================================================================
c . 8.57100 |==================================================================
ONNX Runtime 1.19
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 118.02 |===================================================================
b . 117.67 |===================================================================
c . 116.64 |==================================================================
ONNX Runtime 1.19
Model: super-resolution-10 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 37.12 |====================================================================
b . 36.67 |===================================================================
c . 36.74 |===================================================================
ONNX Runtime 1.19
Model: super-resolution-10 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 26.94 |===================================================================
b . 27.27 |====================================================================
c . 27.22 |====================================================================
ONNX Runtime 1.19
Model: super-resolution-10 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 23.04 |===================================================================
b . 22.95 |===================================================================
c . 23.27 |====================================================================
ONNX Runtime 1.19
Model: super-resolution-10 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 43.39 |====================================================================
b . 43.57 |====================================================================
c . 42.97 |===================================================================
simdjson 3.10
Throughput Test: LargeRandom
GB/s > Higher Is Better
a . 1.23 |=====================================================================
b . 1.23 |=====================================================================
c . 1.22 |====================================================================
SVT-AV1 2.2
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 48.64 |===================================================================
b . 48.40 |===================================================================
c . 49.33 |====================================================================
Y-Cruncher 0.8.5
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
a . 25.73 |====================================================================
b . 25.76 |====================================================================
c . 25.75 |====================================================================
SVT-AV1 2.2
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 219.80 |===================================================================
b . 219.38 |===================================================================
c . 219.56 |===================================================================