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Intel Core Ultra 7 155H testing with a MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS) and Intel Arc MTL 8GB on Ubuntu 24.04 via the Phoronix Test Suite.

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August 22
  3 Hours, 41 Minutes
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August 22
  3 Hours, 34 Minutes
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odpdfd Intel Core Ultra 7 155H testing with a MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS) and Intel Arc MTL 8GB on Ubuntu 24.04 via the Phoronix Test Suite. ,,"a","b" Processor,,Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads),Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads) Motherboard,,MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS),MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS) Chipset,,Intel Device 7e7f,Intel Device 7e7f Memory,,8 x 2GB LPDDR5-6400MT/s Micron MT62F1G32D2DS-026,8 x 2GB LPDDR5-6400MT/s Micron MT62F1G32D2DS-026 Disk,,1024GB Micron_2550_MTFDKBA1T0TGE,1024GB Micron_2550_MTFDKBA1T0TGE Graphics,,Intel Arc MTL 8GB,Intel Arc MTL 8GB Audio,,Intel Meteor Lake-P HD Audio,Intel Meteor Lake-P HD Audio Network,,Intel Meteor Lake PCH CNVi WiFi,Intel Meteor Lake PCH CNVi WiFi OS,,Ubuntu 24.04,Ubuntu 24.04 Kernel,,6.10.0-061000rc4daily20240621-generic (x86_64),6.10.0-061000rc4daily20240621-generic (x86_64) Desktop,,GNOME Shell 46.0,GNOME Shell 46.0 Display Server,,X Server 1.21.1.11 + Wayland,X Server 1.21.1.11 + Wayland OpenGL,,4.6 Mesa 24.2~git2406250600.5cb15a~oibaf~n (git-5cb15a6 2024-06-25 noble-oibaf-ppa),4.6 Mesa 24.2~git2406250600.5cb15a~oibaf~n (git-5cb15a6 2024-06-25 noble-oibaf-ppa) Compiler,,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4 Screen Resolution,,1920x1200,1920x1200 ,,"a","b" "Build2 - Time To Compile (sec)",LIB,253.404,233.764 "Etcpak - Benchmark: Multi-Threaded - Configuration: ETC2 (Mpx/s)",HIB,319.522,316.678 "Mobile Neural Network - Model: nasnet (ms)",LIB,17.502,18.468 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,2.361,2.503 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,5.391,5.763 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,31.777,33.42 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,7.185,7.443 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,4.876,5.131 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,5.591,5.92 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,50.032,54.737 "simdjson - Throughput Test: Kostya (GB/s)",HIB,4.18,4.17 "simdjson - Throughput Test: TopTweet (GB/s)",HIB,6.76,6.8 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,1.47,1.48 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,6.53,6.6 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,6.77,6.57 "SVT-AV1 - Encoder Mode: Preset 3 - Input: Bosphorus 4K (FPS)",HIB,2.608,2.643 "SVT-AV1 - Encoder Mode: Preset 5 - Input: Bosphorus 4K (FPS)",HIB,9.717,9.249 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,21.62,22.099 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,91.281,88.238 "SVT-AV1 - Encoder Mode: Preset 3 - Input: Bosphorus 1080p (FPS)",HIB,9.193,9.621 "SVT-AV1 - Encoder Mode: Preset 5 - Input: Bosphorus 1080p (FPS)",HIB,32.421,33.736 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,74.535,75.897 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,376.407,373.828 "SVT-AV1 - Encoder Mode: Preset 3 - Input: Beauty 4K 10-bit (FPS)",HIB,0.514,0.555 "SVT-AV1 - Encoder Mode: Preset 5 - Input: Beauty 4K 10-bit (FPS)",HIB,2.283,2.398 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Beauty 4K 10-bit (FPS)",HIB,3.147,3.211 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Beauty 4K 10-bit (FPS)",HIB,5.306,4.493 "Whisperfile - Model Size: Tiny (sec)",LIB,94.06066,97.87499 "Whisperfile - Model Size: Small (sec)",LIB,443.99641,438.38991 "Whisperfile - Model Size: Medium (sec)",LIB,1273.5925,1255.47275 "XNNPACK - Model: FP32MobileNetV2 (us)",LIB,3096,3382 "XNNPACK - Model: FP32MobileNetV3Large (us)",LIB,3459,4497 "XNNPACK - Model: FP32MobileNetV3Small (us)",LIB,1636,1898 "XNNPACK - Model: FP16MobileNetV2 (us)",LIB,3273,3593 "XNNPACK - Model: FP16MobileNetV3Large (us)",LIB,3494,3743 "XNNPACK - Model: FP16MobileNetV3Small (us)",LIB,1672,1917 "XNNPACK - Model: QU8MobileNetV2 (us)",LIB,2859,3306 "XNNPACK - Model: QU8MobileNetV3Large (us)",LIB,2849,3357 "XNNPACK - Model: QU8MobileNetV3Small (us)",LIB,1525,1881 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,60.743,57.405 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,27.616,25.082