ASUS System Product Name
Geekbench AI Score
4232
Single Precision Score
4241
Half Precision Score
6535
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | masterclimby |
| Upload Date | September 20 2025 03:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2688
499.9 IPS |
|
|
Image Classification (HP)
|
100% |
2665
495.6 IPS |
|
|
Image Classification (Q)
|
100% |
4165
774.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3080
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3104
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4819
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4903
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4815
5.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
10272
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.2 IPS |
|
|
Object Detection (HP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (Q)
|
87% |
4482
359.5 IPS |
|
|
Face Detection (SP)
|
100% |
5899
70.1 IPS |
|
|
Face Detection (HP)
|
100% |
5926
70.4 IPS |
|
|
Face Detection (Q)
|
97% |
11958
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6289
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6319
48.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
11621
91.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14552
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14551
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29674
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3046
112.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3062
113.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6138
227.4 IPS |
|
|
Text Classification (SP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2515
3.36 KIPS |
|
|
Text Classification (Q)
|
91% |
1417
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4288
73.9 IPS |
