new mtl framework

Intel Core Ultra 7 155H testing with a Framework Laptop 13 (Intel Core Ultra 1) FRANMECP05 (03.01 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 2408139-NE-NEWMTLFRA01
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HPC - High Performance Computing 4 Tests
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August 13
  2 Hours, 37 Minutes
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August 13
  2 Hours, 36 Minutes
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August 13
  2 Hours, 33 Minutes
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new mtl framework Intel Core Ultra 7 155H testing with a Framework Laptop 13 (Intel Core Ultra 1) FRANMECP05 (03.01 BIOS) and Intel Arc MTL 8GB on Ubuntu 24.04 via the Phoronix Test Suite. ,,"a","b","c" Processor,,Intel Core Ultra 7 155H @ 4.50GHz (16 Cores / 22 Threads),Intel Core Ultra 7 155H @ 4.50GHz (16 Cores / 22 Threads),Intel Core Ultra 7 155H @ 4.50GHz (16 Cores / 22 Threads) Motherboard,,Framework Laptop 13 (Intel Core Ultra 1) FRANMECP05 (03.01 BIOS),Framework Laptop 13 (Intel Core Ultra 1) FRANMECP05 (03.01 BIOS),Framework Laptop 13 (Intel Core Ultra 1) FRANMECP05 (03.01 BIOS) Chipset,,Intel Device 7e7f,Intel Device 7e7f,Intel Device 7e7f Memory,,2 x 8GB DDR5-5600MT/s A-DATA AD5S56008G-SFW,2 x 8GB DDR5-5600MT/s A-DATA AD5S56008G-SFW,2 x 8GB DDR5-5600MT/s A-DATA AD5S56008G-SFW Disk,,512GB Western Digital WD PC SN740 SDDPNQD-512G,512GB Western Digital WD PC SN740 SDDPNQD-512G,512GB Western Digital WD PC SN740 SDDPNQD-512G Graphics,,Intel Arc MTL 8GB,Intel Arc MTL 8GB,Intel Arc MTL 8GB Audio,,Realtek ALC285,Realtek ALC285,Realtek ALC285 Network,,MEDIATEK MT7922 802.11ax PCI,MEDIATEK MT7922 802.11ax PCI,MEDIATEK MT7922 802.11ax PCI OS,,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04 Kernel,,6.10.0-061000rc4daily20240621-generic (x86_64),6.10.0-061000rc4daily20240621-generic (x86_64),6.10.0-061000rc4daily20240621-generic (x86_64) Desktop,,GNOME Shell 46.0,GNOME Shell 46.0,GNOME Shell 46.0 Display Server,,X Server + Wayland,X Server + Wayland,X Server + 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),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,GCC 13.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"a","b","c" "x265 - Video Input: Bosphorus 4K (FPS)",HIB,12.1,12.08,12.13 "x265 - Video Input: Bosphorus 1080p (FPS)",HIB,51.06,49.51,50.61 "simdjson - Throughput Test: Kostya (GB/s)",HIB,4.2,4.21,4.26 "simdjson - Throughput Test: TopTweet (GB/s)",HIB,6.81,6.81,6.79 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,1.46,1.47,1.46 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,6.62,6.62,6.62 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,6.81,6.83,6.83 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,52.027491,52.067546,52.094087 "Etcpak - Benchmark: Multi-Threaded - Configuration: ETC2 (Mpx/s)",HIB,220.524,223.28,222.068 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,26,27,26 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,25,24,25 "Stockfish - Chess Benchmark (Nodes/s)",HIB,10688485,10530329,11305323 "GROMACS - Input: water_GMX50_bare (Ns/Day)",HIB,0.579,0.581,0.581 "Mobile Neural Network - Model: nasnet (ms)",LIB,23.726,23.633,23.841 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,3.111,3.157,3.772 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,5.861,5.881,5.921 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,48.546,48.746,48.796 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,9.814,9.669,9.9 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,6.692,6.701,6.757 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,6.216,6.253,6.152 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,69.547,69.196,69.412 "Build2 - Time To Compile (sec)",LIB,297.757,298.584,299.953 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,74.994,75.403,75.633 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,31.851,31.872,31.502 "POV-Ray - Trace Time (sec)",LIB,57.761,58.398,57.951 "XNNPACK - Model: FP32MobileNetV2 (us)",LIB,4388,4077,4397 "XNNPACK - Model: FP32MobileNetV3Large (us)",LIB,6627,5697,5356 "XNNPACK - Model: FP32MobileNetV3Small (us)",LIB,2246,2362,2160 "XNNPACK - Model: FP16MobileNetV2 (us)",LIB,4251,4377,5409 "XNNPACK - Model: FP16MobileNetV3Large (us)",LIB,5247,4817,4784 "XNNPACK - Model: FP16MobileNetV3Small (us)",LIB,2385,2523,2277 "XNNPACK - Model: QU8MobileNetV2 (us)",LIB,3737,3554,4238 "XNNPACK - Model: QU8MobileNetV3Large (us)",LIB,3605,3747,4439 "XNNPACK - Model: QU8MobileNetV3Small (us)",LIB,2132,2264,1896