HUAWEI FLMH-XX
Geekbench ML Score
2962
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 04:14 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1467
274.5 IPS |
|
|
Image Classification (F16)
|
100% |
1494
279.5 IPS |
|
|
Image Classification (I8)
|
99% |
2535
474.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1410
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1335
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2239
37.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5688
6.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
5682
6.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
20118
24.4 IPS |
|
|
Object Detection (F32)
|
100% |
1528
114.1 IPS |
|
|
Object Detection (F16)
|
100% |
1446
107.9 IPS |
|
|
Object Detection (I8)
|
62% |
1376
102.7 IPS |
|
|
Face Detection (F32)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (F16)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (I8)
|
89% |
3356
39.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6231
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6251
48.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
11508
89.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13226
17.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13962
18.4 IPS |
|
|
Style Transfer (I8)
|
98% |
16854
22.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2533
90.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2434
86.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3755
134.1 IPS |
|
|
Text Classification (F32)
|
100% |
1031
1.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1005
1.44 KIPS |
|
|
Text Classification (I8)
|
98% |
414
595.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1593
29.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1582
29.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2485
45.7 IPS |
