ASUS System Product Name
Geekbench AI Score
3964
Single Precision Score
1786
Half Precision Score
7848
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 11:45 AM |
| Views | 2 |
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. PRIME B650M-A WIFI II |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3507
652.3 IPS |
|
|
Image Classification (HP)
|
100% |
705
131.2 IPS |
|
|
Image Classification (Q)
|
99% |
7771
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3766
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5519
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4788
5.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
21364
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
2964
235.1 IPS |
|
|
Object Detection (HP)
|
100% |
877
69.6 IPS |
|
|
Object Detection (Q)
|
86% |
7953
639.1 IPS |
|
|
Face Detection (SP)
|
100% |
6306
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
1911
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
10201
121.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6993
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2680
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16519
131.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14433
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11519
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27336
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2744
101.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2371
87.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4309
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
2001
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
948
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2118
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2822
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4241
85.2 IPS |
