ASUS VM31
Geekbench AI Score
1227
Single Precision Score
732
Half Precision Score
1863
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 01:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 40 with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS VM31 |
| Motherboard | ASUSTeK COMPUTER INC. ELMVM31 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 40 with Radeon Graphics |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 160 Stepping 0 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
930
173.0 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
1675
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1796
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1498
1.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
2853
3.37 IPS |
|
|
Object Detection (SP)
|
100% |
864
68.5 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (Q)
|
58% |
998
109.1 IPS |
|
|
Face Detection (SP)
|
100% |
1869
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.42 IPS |
|
|
Face Detection (Q)
|
96% |
3119
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2385
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1130
8.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
3265
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4434
5.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3925
5.05 IPS |
|
|
Style Transfer (Q)
|
87% |
5619
7.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
733
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1358
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
533
711.3 IPS |
|
|
Text Classification (Q)
|
97% |
871
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (Q)
|
68% |
1143
22.1 IPS |
