ASUS System Product Name
Geekbench AI Score
1170
Single Precision Score
670
Half Precision Score
1175
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | February 17 2026 01:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME A520M-R |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
891
165.8 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
96% |
801
149.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
911
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1387
1.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
1537
1.82 IPS |
|
|
Object Detection (SP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
58% |
576
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.37 IPS |
|
|
Face Detection (Q)
|
96% |
2115
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2157
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1014
7.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
1969
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4156
5.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3598
4.63 IPS |
|
|
Style Transfer (Q)
|
87% |
3670
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
829
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
673
898.2 IPS |
|
|
Text Classification (HP)
|
100% |
400
533.4 IPS |
|
|
Text Classification (Q)
|
97% |
624
836.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
68% |
984
19.0 IPS |
