ASUS System Product Name
Geekbench AI Score
2844
Single Precision Score
1355
Half Precision Score
5091
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 04 2026 11:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS WIFI II |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 112.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2197
408.7 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.5 IPS |
|
|
Image Classification (Q)
|
96% |
4310
804.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
5622
91.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4415
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3682
4.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
10145
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2092
165.9 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
58% |
3125
341.5 IPS |
|
|
Face Detection (SP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (Q)
|
96% |
7118
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6303
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1874
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10019
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11288
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8136
10.5 IPS |
|
|
Style Transfer (Q)
|
87% |
14291
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2030
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3876
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
1654
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1353
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2099
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2851
55.1 IPS |
