HUAWEI MRC-WX0
Geekbench AI Score
1457
Single Precision Score
422
Half Precision Score
1803
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | OsakaRider |
| Upload Date | August 18 2024 09:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HUAWEI MRC-WX0 |
| Motherboard | HUAWEI MRC-WX0-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
933
173.4 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (Q)
|
97% |
1311
244.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
1316
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2220
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1704
1.99 IPS |
|
|
Pose Estimation (Q)
|
87% |
3683
4.35 IPS |
|
|
Object Detection (SP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.30 IPS |
|
|
Object Detection (Q)
|
86% |
938
75.4 IPS |
|
|
Face Detection (SP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
170
2.02 IPS |
|
|
Face Detection (Q)
|
96% |
2138
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2811
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
512
3.95 IPS |
|
|
Depth Estimation (Q)
|
76% |
2716
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5956
7.66 IPS |
|
|
Style Transfer (HP)
|
100% |
4339
5.58 IPS |
|
|
Style Transfer (Q)
|
87% |
7216
9.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
985
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1527
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
473
631.2 IPS |
|
|
Text Classification (Q)
|
97% |
876
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (Q)
|
60% |
1088
24.3 IPS |
