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