ASUS System Product Name
Geekbench AI Score
2936
Single Precision Score
2968
Half Precision Score
4881
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 02:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 6-Core Processor |
| 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 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
239.9 IPS |
|
|
Image Classification (HP)
|
100% |
1476
274.6 IPS |
|
|
Image Classification (Q)
|
100% |
2717
505.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3095
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3733
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3771
4.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
8512
9.98 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.4 IPS |
|
|
Object Detection (HP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (Q)
|
87% |
3539
283.9 IPS |
|
|
Face Detection (SP)
|
100% |
4258
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
4150
49.3 IPS |
|
|
Face Detection (Q)
|
97% |
9320
111.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4760
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4811
37.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
8763
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11268
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11157
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22853
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2196
81.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4623
171.2 IPS |
|
|
Text Classification (SP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (Q)
|
91% |
1134
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3102
53.4 IPS |
