HUAWEI FLMH-XX
Geekbench ML Score
2813
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 04:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI FLMH-XX |
| Motherboard | HUAWEI FLMH-XX-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1358
254.1 IPS |
|
|
Image Classification (F16)
|
100% |
1362
254.8 IPS |
|
|
Image Classification (I8)
|
100% |
1215
227.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1373
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1387
23.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1230
20.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
12542
15.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
12468
15.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
10921
13.2 IPS |
|
|
Object Detection (F32)
|
100% |
1260
94.1 IPS |
|
|
Object Detection (F16)
|
100% |
1220
91.1 IPS |
|
|
Object Detection (I8)
|
54% |
1106
82.6 IPS |
|
|
Face Detection (F32)
|
100% |
1090
13.0 IPS |
|
|
Face Detection (F16)
|
100% |
1072
12.8 IPS |
|
|
Face Detection (I8)
|
89% |
965
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7392
57.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7639
59.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
6285
48.7 IPS |
|
|
Style Transfer (F32)
|
100% |
37617
49.5 IPS |
|
|
Style Transfer (F16)
|
100% |
39447
51.9 IPS |
|
|
Style Transfer (I8)
|
98% |
29481
38.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6444
230.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6538
233.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4635
165.5 IPS |
|
|
Text Classification (F32)
|
90% |
747
1.07 KIPS |
|
|
Text Classification (F16)
|
90% |
743
1.07 KIPS |
|
|
Text Classification (I8)
|
90% |
567
815.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1482
27.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1483
27.3 IPS |
|
|
Machine Translation (I8)
|
70% |
828
15.2 IPS |
