ASUS VM31
Geekbench AI Score
1241
Single Precision Score
737
Half Precision Score
1870
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 01:47 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% |
953
177.2 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.7 IPS |
|
|
Image Classification (Q)
|
96% |
1346
251.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
1727
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1785
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1499
1.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
2867
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (Q)
|
58% |
1007
110.1 IPS |
|
|
Face Detection (SP)
|
100% |
1881
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
805
9.57 IPS |
|
|
Face Detection (Q)
|
96% |
3179
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2420
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1131
8.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
3255
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4475
5.75 IPS |
|
|
Style Transfer (HP)
|
100% |
3901
5.02 IPS |
|
|
Style Transfer (Q)
|
87% |
5649
7.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
746
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1358
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
933
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
554
738.9 IPS |
|
|
Text Classification (Q)
|
97% |
864
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
68% |
1137
22.0 IPS |
