HUAWEI MACHC-WAX9
Geekbench AI Score
1519
Single Precision Score
1513
Half Precision Score
1153
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 10:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX250 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HUAWEI MACHC-WAX9 |
| Motherboard | HUAWEI MACHC-WAX9-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.7 IPS |
|
|
Image Classification (Q)
|
100% |
308
57.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6903
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3820
4.46 IPS |
|
|
Pose Estimation (Q)
|
97% |
5919
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (HP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (Q)
|
89% |
401
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
901
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
1286
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
773
9.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
2944
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2564
19.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
2388
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11865
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7237
9.30 IPS |
|
|
Style Transfer (Q)
|
98% |
10104
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2825
104.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2054
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1946
72.1 IPS |
|
|
Text Classification (SP)
|
100% |
630
840.8 IPS |
|
|
Text Classification (HP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
440
589.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
59% |
431
10.00 IPS |
