DESKTOP1 @ RX560OC ASUS System Product Name
Geekbench AI Score
4551
Single Precision Score
5280
Half Precision Score
3415
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | anupdebnath7 |
| Upload Date | March 18 2025 07:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 560 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
2288
425.6 IPS |
|
|
Image Classification (Q)
|
100% |
1511
280.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1693
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23286
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24131
28.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
19379
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1937
153.6 IPS |
|
|
Object Detection (HP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (Q)
|
88% |
1718
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
6423
76.3 IPS |
|
|
Face Detection (Q)
|
97% |
3860
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10614
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13645
105.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
8173
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36502
46.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40848
52.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29702
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6972
257.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7714
284.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4705
174.2 IPS |
|
|
Text Classification (SP)
|
100% |
1172
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1144
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
702
939.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1724
29.8 IPS |
|
|
Machine Translation (Q)
|
70% |
819
15.4 IPS |
