ASUS System Product Name
Geekbench AI Score
2671
Single Precision Score
1355
Half Precision Score
6229
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | February 15 2025 10:07 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% |
1910
355.2 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
99% |
6308
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3355
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3635
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3359
3.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
18161
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
1860
147.5 IPS |
|
|
Object Detection (HP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (Q)
|
86% |
6285
505.1 IPS |
|
|
Face Detection (SP)
|
100% |
5025
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
9161
109.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5012
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2049
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6885
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9094
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8513
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27555
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3419
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
707
943.2 IPS |
|
|
Text Classification (Q)
|
97% |
1738
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3526
70.8 IPS |
