ASUS System Product Name
Geekbench AI Score
4339
Single Precision Score
1976
Half Precision Score
7904
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 12:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650M-AYW WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3618
672.8 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
99% |
8069
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3921
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6697
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5277
6.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
22951
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3310
262.6 IPS |
|
|
Object Detection (HP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (Q)
|
86% |
8407
675.7 IPS |
|
|
Face Detection (SP)
|
100% |
5839
69.4 IPS |
|
|
Face Detection (HP)
|
100% |
2067
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
10044
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8250
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2698
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16319
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16497
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13966
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19063
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3147
116.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2709
100.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4486
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2279
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2888
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4883
98.1 IPS |
