MECHREVO WUJIE Series
Geekbench AI Score
2153
Single Precision Score
1004
Half Precision Score
4769
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 01 2025 08:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 H 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MECHREVO WUJIE Series |
| Motherboard | MECHREVO WUJIE Series-X5SP4NAG |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 H 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.3 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.1 IPS |
|
|
Image Classification (Q)
|
99% |
4447
829.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
570
9.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
2359
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3352
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2833
3.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
14027
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (Q)
|
86% |
4689
376.8 IPS |
|
|
Face Detection (SP)
|
100% |
4515
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
6704
79.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4617
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1601
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10506
83.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7595
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
7576
9.74 IPS |
|
|
Style Transfer (Q)
|
98% |
23285
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2556
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
422
563.1 IPS |
|
|
Text Classification (Q)
|
97% |
967
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.28 IPS |
|
|
Machine Translation (Q)
|
65% |
2180
43.8 IPS |
