ASUS System Product Name
Geekbench AI Score
3083
Single Precision Score
1434
Half Precision Score
6802
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 07:35 AM |
| Views | 4 |
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. ROG STRIX B650E-E GAMING WIFI |
| Power Plan | Hchstleistung |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2705
503.1 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.9 IPS |
|
|
Image Classification (Q)
|
99% |
6317
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3178
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3889
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3522
4.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
16056
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2194
174.0 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
7600
610.8 IPS |
|
|
Face Detection (SP)
|
100% |
5490
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
9859
117.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5230
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2067
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13454
107.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10175
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8834
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22012
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3577
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1886
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4398
88.4 IPS |
