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,
"Etcpak 2.0 - Benchmark: Multi-Threaded - Configuration: ETC2",
Higher Results Are Better
"a",
"b",
"c",
"LeelaChessZero 0.31.1 - Backend: BLAS",
Higher Results Are Better
"a",
"b",
"c",
"LeelaChessZero 0.31.1 - Backend: Eigen",
Higher Results Are Better
"a",
"b",
"c",
"simdjson 3.10 - Throughput Test: Kostya",
Higher Results Are Better
"a",
"b",
"c",
"simdjson 3.10 - Throughput Test: TopTweet",
Higher Results Are Better
"a",
"b",
"c",
"simdjson 3.10 - Throughput Test: LargeRandom",
Higher Results Are Better
"a",
"b",
"c",
"simdjson 3.10 - Throughput Test: PartialTweets",
Higher Results Are Better
"a",
"b",
"c",
"simdjson 3.10 - Throughput Test: DistinctUserID",
Higher Results Are Better
"a",
"b",
"c",
"x265 - Video Input: Bosphorus 4K",
Higher Results Are Better
"a",
"b",
"c",
"x265 - Video Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"b",
"c",
"ACES DGEMM 1.0 - Sustained Floating-Point Rate",
Higher Results Are Better
"a",
"b",
"c",
"Stockfish - Chess Benchmark",
Higher Results Are Better
"a",
"b",
"c",
"Build2 0.17 - Time To Compile",
Lower Results Are Better
"a",
"b",
"c",
"Y-Cruncher 0.8.5 - Pi Digits To Calculate: 1B",
Lower Results Are Better
"a",
"b",
"c",
"Y-Cruncher 0.8.5 - Pi Digits To Calculate: 500M",
Lower Results Are Better
"a",
"b",
"c",
"POV-Ray - Trace Time",
Lower Results Are Better
"a",
"b",
"c",
"GROMACS - Input: water_GMX50_bare",
Higher Results Are Better
"a",
"b",
"c",
"Mobile Neural Network 2.9.b11b7037d - Model: nasnet",
Lower Results Are Better
"a",
"b",
"c",
"Mobile Neural Network 2.9.b11b7037d - Model: mobilenetV3",
Lower Results Are Better
"a",
"b",
"c",
"Mobile Neural Network 2.9.b11b7037d - Model: squeezenetv1.1",
Lower Results Are Better
"a",
"b",
"c",
"Mobile Neural Network 2.9.b11b7037d - Model: resnet-v2-50",
Lower Results Are Better
"a",
"b",
"c",
"Mobile Neural Network 2.9.b11b7037d - Model: SqueezeNetV1.0",
Lower Results Are Better
"a",
"b",
"c",
"Mobile Neural Network 2.9.b11b7037d - Model: MobileNetV2_224",
Lower Results Are Better
"a",
"b",
"c",
"Mobile Neural Network 2.9.b11b7037d - Model: mobilenet-v1-1.0",
Lower Results Are Better
"a",
"b",
"c",
"Mobile Neural Network 2.9.b11b7037d - Model: inception-v3",
Lower Results Are Better
"a",
"b",
"c",
"XNNPACK 2cd86b - Model: FP32MobileNetV2",
Lower Results Are Better
"a",
"b",
"c",
"XNNPACK 2cd86b - Model: FP32MobileNetV3Large",
Lower Results Are Better
"a",
"b",
"c",
"XNNPACK 2cd86b - Model: FP32MobileNetV3Small",
Lower Results Are Better
"a",
"b",
"c",
"XNNPACK 2cd86b - Model: FP16MobileNetV2",
Lower Results Are Better
"a",
"b",
"c",
"XNNPACK 2cd86b - Model: FP16MobileNetV3Large",
Lower Results Are Better
"a",
"b",
"c",
"XNNPACK 2cd86b - Model: FP16MobileNetV3Small",
Lower Results Are Better
"a",
"b",
"c",
"XNNPACK 2cd86b - Model: QU8MobileNetV2",
Lower Results Are Better
"a",
"b",
"c",
"XNNPACK 2cd86b - Model: QU8MobileNetV3Large",
Lower Results Are Better
"a",
"b",
"c",
"XNNPACK 2cd86b - Model: QU8MobileNetV3Small",
Lower Results Are Better
"a",
"b",
"c",