ASUS System Product Name
Geekbench AI Score
2161
Single Precision Score
1027
Half Precision Score
2568
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 08:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450M-A II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1797
334.2 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (Q)
|
96% |
2155
402.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
97% |
1644
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4511
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3770
4.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
5027
5.94 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (HP)
|
100% |
504
39.9 IPS |
|
|
Object Detection (Q)
|
58% |
1581
172.7 IPS |
|
|
Face Detection (SP)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (Q)
|
96% |
4581
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5434
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1576
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5180
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10007
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8386
10.8 IPS |
|
|
Style Transfer (Q)
|
87% |
8438
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1632
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1617
59.9 IPS |
|
|
Text Classification (SP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
470
627.5 IPS |
|
|
Text Classification (Q)
|
97% |
924
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (Q)
|
68% |
1486
28.7 IPS |
