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.

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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: Processor: Intel Core Ultra 7 155H @ 4.50GHz (16 Cores / 22 Threads), Motherboard: Framework Laptop 13 (Intel Core Ultra 1) FRANMECP05 (03.01 BIOS), Chipset: Intel Device 7e7f, Memory: 2 x 8GB DDR5-5600MT/s A-DATA AD5S56008G-SFW, Disk: 512GB Western Digital WD PC SN740 SDDPNQD-512G, Graphics: Intel Arc MTL 8GB, Audio: Realtek ALC285, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + 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: 1920x1080 b: Processor: Intel Core Ultra 7 155H @ 4.50GHz (16 Cores / 22 Threads), Motherboard: Framework Laptop 13 (Intel Core Ultra 1) FRANMECP05 (03.01 BIOS), Chipset: Intel Device 7e7f, Memory: 2 x 8GB DDR5-5600MT/s A-DATA AD5S56008G-SFW, Disk: 512GB Western Digital WD PC SN740 SDDPNQD-512G, Graphics: Intel Arc MTL 8GB, Audio: Realtek ALC285, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + 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: 1920x1080 c: Processor: Intel Core Ultra 7 155H @ 4.50GHz (16 Cores / 22 Threads), Motherboard: Framework Laptop 13 (Intel Core Ultra 1) FRANMECP05 (03.01 BIOS), Chipset: Intel Device 7e7f, Memory: 2 x 8GB DDR5-5600MT/s A-DATA AD5S56008G-SFW, Disk: 512GB Western Digital WD PC SN740 SDDPNQD-512G, Graphics: Intel Arc MTL 8GB, Audio: Realtek ALC285, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + 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: 1920x1080 ACES DGEMM 1.0 Sustained Floating-Point Rate GFLOP/s > Higher Is Better a . 52.03 |==================================================================== b . 52.07 |==================================================================== c . 52.09 |==================================================================== Build2 0.17 Time To Compile Seconds < Lower Is Better a . 297.76 |=================================================================== b . 298.58 |=================================================================== c . 299.95 |=================================================================== Etcpak 2.0 Benchmark: Multi-Threaded - Configuration: ETC2 Mpx/s > Higher Is Better a . 220.52 |================================================================== b . 223.28 |=================================================================== c . 222.07 |=================================================================== GROMACS Input: water_GMX50_bare Ns Per Day > Higher Is Better a . 0.579 |==================================================================== b . 0.581 |==================================================================== c . 0.581 |==================================================================== LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 26 |==================================================================== b . 27 |======================================================================= c . 26 |==================================================================== LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 25 |======================================================================= b . 24 |==================================================================== c . 25 |======================================================================= Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 23.73 |==================================================================== b . 23.63 |=================================================================== c . 23.84 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 3.111 |======================================================== b . 3.157 |========================================================= c . 3.772 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 5.861 |=================================================================== b . 5.881 |==================================================================== c . 5.921 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 48.55 |==================================================================== b . 48.75 |==================================================================== c . 48.80 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 9.814 |=================================================================== b . 9.669 |================================================================== c . 9.900 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 6.692 |=================================================================== b . 6.701 |=================================================================== c . 6.757 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 6.216 |==================================================================== b . 6.253 |==================================================================== c . 6.152 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 69.55 |==================================================================== b . 69.20 |==================================================================== c . 69.41 |==================================================================== POV-Ray Trace Time Seconds < Lower Is Better a . 57.76 |=================================================================== b . 58.40 |==================================================================== c . 57.95 |=================================================================== simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 4.20 |==================================================================== b . 4.21 |==================================================================== c . 4.26 |===================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 6.81 |===================================================================== b . 6.81 |===================================================================== c . 6.79 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 1.46 |===================================================================== b . 1.47 |===================================================================== c . 1.46 |===================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 6.62 |===================================================================== b . 6.62 |===================================================================== c . 6.62 |===================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 6.81 |===================================================================== b . 6.83 |===================================================================== c . 6.83 |===================================================================== Stockfish Chess Benchmark Nodes Per Second > Higher Is Better a . 10688485 |============================================================= b . 10530329 |============================================================= c . 11305323 |================================================================= x265 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 12.10 |==================================================================== b . 12.08 |==================================================================== c . 12.13 |==================================================================== x265 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 51.06 |==================================================================== b . 49.51 |================================================================== c . 50.61 |=================================================================== XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 4388 |===================================================================== b . 4077 |================================================================ c . 4397 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 6627 |===================================================================== b . 5697 |=========================================================== c . 5356 |======================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 2246 |================================================================== b . 2362 |===================================================================== c . 2160 |=============================================================== XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 4251 |====================================================== b . 4377 |======================================================== c . 5409 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 5247 |===================================================================== b . 4817 |=============================================================== c . 4784 |=============================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 2385 |================================================================= b . 2523 |===================================================================== c . 2277 |============================================================== XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 3737 |============================================================= b . 3554 |========================================================== c . 4238 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 3605 |======================================================== b . 3747 |========================================================== c . 4439 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 2132 |================================================================= b . 2264 |===================================================================== c . 1896 |========================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 74.99 |=================================================================== b . 75.40 |==================================================================== c . 75.63 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 31.85 |==================================================================== b . 31.87 |==================================================================== c . 31.50 |===================================================================