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 |===================================================================