ASUS System Product Name
Geekbench AI Score
2550
Single Precision Score
1326
Half Precision Score
6240
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | February 15 2025 10:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8400F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1813
337.1 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.3 IPS |
|
|
Image Classification (Q)
|
99% |
5937
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2902
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3806
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3199
3.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
17368
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1846
146.4 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
86% |
6312
507.3 IPS |
|
|
Face Detection (SP)
|
100% |
5036
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
9663
115.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4831
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1941
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8290
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9121
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8393
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25706
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3568
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
679
906.2 IPS |
|
|
Text Classification (Q)
|
97% |
1872
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2207
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3448
69.3 IPS |
