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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2408224-NE-ODPDFD86836
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"
"Etcpak - Benchmark: Multi-Threaded - Configuration: ETC2 (Mpx/s)",HIB,319.522,316.678
"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
"Build2 - Time To Compile (sec)",LIB,253.404,233.764
"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
"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
"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
"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