ASUS System Product Name
Geekbench AI Score
1204
Single Precision Score
557
Half Precision Score
1733
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 12:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A II |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
99% |
1783
332.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
2028
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1686
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1419
1.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
5905
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
960
76.1 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
86% |
963
77.4 IPS |
|
|
Face Detection (SP)
|
100% |
1373
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
2113
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4923
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
968
7.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
2913
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5972
7.68 IPS |
|
|
Style Transfer (HP)
|
100% |
4535
5.83 IPS |
|
|
Style Transfer (Q)
|
98% |
5849
7.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1068
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
764
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
300
400.6 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.1 IPS |
|
|
Text Classification (Q)
|
97% |
637
853.6 IPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (Q)
|
65% |
681
13.7 IPS |
