ASUS System Product Name
Geekbench AI Score
2656
Single Precision Score
1213
Half Precision Score
4347
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 19 2025 04:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.6 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.6 IPS |
|
|
Image Classification (Q)
|
96% |
4278
798.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
4883
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3915
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3257
3.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
8113
9.59 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
538
42.6 IPS |
|
|
Object Detection (Q)
|
58% |
2519
275.2 IPS |
|
|
Face Detection (SP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
6316
75.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5089
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1658
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8031
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9568
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8119
10.4 IPS |
|
|
Style Transfer (Q)
|
87% |
11752
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3169
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
716
955.4 IPS |
|
|
Text Classification (Q)
|
97% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2447
47.3 IPS |
