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Tests for a future article. 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 2408220-NE-ODPDFD40936
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odpdfd Tests for a future article. 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: Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 8 x 2GB LPDDR5-6400MT/s Micron MT62F1G32D2DS-026, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: Intel Arc MTL 8GB, Audio: Intel Meteor Lake-P HD Audio, Network: Intel Meteor Lake PCH CNVi WiFi OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: 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), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 8 x 2GB LPDDR5-6400MT/s Micron MT62F1G32D2DS-026, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: Intel Arc MTL 8GB, Audio: Intel Meteor Lake-P HD Audio, Network: Intel Meteor Lake PCH CNVi WiFi OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: 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), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 27.62 |==================================================================== b . 25.08 |============================================================== Etcpak 2.0 Benchmark: Multi-Threaded - Configuration: ETC2 Mpx/s > Higher Is Better a . 319.52 |=================================================================== b . 316.68 |================================================================== Whisperfile 20Aug24 Model Size: Tiny Seconds < Lower Is Better a . 94.06 |================================================================= b . 97.87 |==================================================================== Whisperfile 20Aug24 Model Size: Small Seconds < Lower Is Better a . 444.00 |=================================================================== b . 438.39 |================================================================== Whisperfile 20Aug24 Model Size: Medium Seconds < Lower Is Better a . 1273.59 |================================================================== b . 1255.47 |================================================================= Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 17.50 |================================================================ b . 18.47 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 2.361 |================================================================ b . 2.503 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 5.391 |================================================================ b . 5.763 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 7.185 |================================================================== b . 7.443 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 60.74 |==================================================================== b . 57.41 |================================================================ Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 31.78 |================================================================= b . 33.42 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 4.876 |================================================================= b . 5.131 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 5.591 |================================================================ b . 5.920 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 50.03 |============================================================== b . 54.74 |==================================================================== XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 3096 |=============================================================== b . 3382 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 3459 |===================================================== b . 4497 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 1636 |=========================================================== b . 1898 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 3273 |=============================================================== b . 3593 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 3494 |================================================================ b . 3743 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 1672 |============================================================ b . 1917 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 2859 |============================================================ b . 3306 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 2849 |=========================================================== b . 3357 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 1525 |======================================================== b . 1881 |===================================================================== SVT-AV1 2.2 Encoder Mode: Preset 3 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 2.608 |=================================================================== b . 2.643 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 5 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 9.717 |==================================================================== b . 9.249 |================================================================= SVT-AV1 2.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 21.62 |=================================================================== b . 22.10 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 91.28 |==================================================================== b . 88.24 |================================================================== SVT-AV1 2.2 Encoder Mode: Preset 3 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 9.193 |================================================================= b . 9.621 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 5 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 32.42 |================================================================= b . 33.74 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 74.54 |=================================================================== b . 75.90 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 376.41 |=================================================================== b . 373.83 |=================================================================== SVT-AV1 2.2 Encoder Mode: Preset 3 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 0.514 |=============================================================== b . 0.555 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 5 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 2.283 |================================================================= b . 2.398 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 8 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 3.147 |=================================================================== b . 3.211 |==================================================================== SVT-AV1 2.2 Encoder Mode: Preset 13 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 5.306 |==================================================================== b . 4.493 |========================================================== Build2 0.17 Time To Compile Seconds < Lower Is Better a . 253.40 |=================================================================== b . 233.76 |============================================================== simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 4.18 |===================================================================== b . 4.17 |===================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 6.76 |===================================================================== b . 6.80 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 1.47 |===================================================================== b . 1.48 |===================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 6.53 |==================================================================== b . 6.60 |===================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 6.77 |===================================================================== b . 6.57 |===================================================================