ASUS System Product Name
Geekbench AI Score
4253
Single Precision Score
4248
Half Precision Score
6517
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | masterclimby |
| Upload Date | September 15 2025 11:44 PM |
| 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 | High performance |
| 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% |
2720
505.8 IPS |
|
|
Image Classification (Q)
|
100% |
4249
790.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3163
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3154
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4943
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4961
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4951
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
10301
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
2497
198.0 IPS |
|
|
Object Detection (Q)
|
87% |
4461
357.8 IPS |
|
|
Face Detection (SP)
|
100% |
5841
69.4 IPS |
|
|
Face Detection (HP)
|
100% |
5836
69.3 IPS |
|
|
Face Detection (Q)
|
97% |
12074
144.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6335
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6281
48.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
11575
91.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14530
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14611
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29732
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3095
114.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3080
113.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6210
230.0 IPS |
|
|
Text Classification (SP)
|
100% |
2523
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2517
3.36 KIPS |
|
|
Text Classification (Q)
|
91% |
1333
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4169
71.8 IPS |
