ASUS System Product Name
Geekbench AI Score
2218
Single Precision Score
1114
Half Precision Score
3944
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | F0xMaster |
| Upload Date | December 11 2025 10:11 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550-PLUS |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1692
314.7 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
96% |
3432
640.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
4043
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3389
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2852
3.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
7877
9.31 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
58% |
2329
254.5 IPS |
|
|
Face Detection (SP)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
1091
13.0 IPS |
|
|
Face Detection (Q)
|
96% |
6098
72.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4379
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1586
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7108
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8182
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6803
8.75 IPS |
|
|
Style Transfer (Q)
|
87% |
10984
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1262
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3071
113.8 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
742
990.0 IPS |
|
|
Text Classification (Q)
|
97% |
1204
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2037
39.4 IPS |
