MECHREVO WUJIE14 PRO
Geekbench AI Score
1782
Single Precision Score
543
Half Precision Score
2629
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LazaruX512 |
| Upload Date | September 04 2024 08:21 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | MECHREVO WUJIE14 PRO |
| Motherboard | MECHREVO WUJIE14 Series-PHX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
2490
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1375
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2964
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2417
2.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
12465
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (Q)
|
88% |
1133
90.9 IPS |
|
|
Face Detection (SP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
239
2.84 IPS |
|
|
Face Detection (Q)
|
97% |
3245
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3769
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
731
5.63 IPS |
|
|
Depth Estimation (Q)
|
76% |
5974
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8011
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6755
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
15340
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1377
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2540
94.1 IPS |
|
|
Text Classification (SP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
379
505.9 IPS |
|
|
Text Classification (Q)
|
97% |
268
359.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (Q)
|
60% |
1616
36.0 IPS |
