ASUS System Product Name
Geekbench AI Score
2708
Single Precision Score
1382
Half Precision Score
4908
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 04:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1918
356.6 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (Q)
|
99% |
3911
729.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2985
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3368
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2988
3.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
15959
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
100% |
579
46.0 IPS |
|
|
Object Detection (Q)
|
88% |
1703
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
4889
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4235
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2228
17.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
9335
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12106
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9609
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23564
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2377
87.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1903
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3988
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
2034
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1911
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
60% |
3124
69.7 IPS |
