ASUS System Product Name
Geekbench AI Score
4131
Single Precision Score
1894
Half Precision Score
9137
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 01:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850M-PLUS WIFI |
| 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% |
3319
617.1 IPS |
|
|
Image Classification (HP)
|
100% |
747
138.8 IPS |
|
|
Image Classification (Q)
|
99% |
8079
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9111
148.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5376
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4721
5.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
21721
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2885
228.9 IPS |
|
|
Object Detection (HP)
|
100% |
912
72.3 IPS |
|
|
Object Detection (Q)
|
86% |
8504
683.5 IPS |
|
|
Face Detection (SP)
|
100% |
7943
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
2049
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
10743
128.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6816
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2646
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16437
131.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14053
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11382
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28819
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2588
95.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2285
84.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5718
211.7 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1135
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1974
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5195
104.4 IPS |
