ASUS System Product Name
Geekbench AI Score
2594
Single Precision Score
1089
Half Precision Score
2961
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 12 2025 06:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME A520M-K |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.5 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
96% |
2795
522.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
1774
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5803
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4374
5.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
6028
7.13 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.6 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
58% |
1975
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
5547
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6553
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1709
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6235
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12401
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9693
12.5 IPS |
|
|
Style Transfer (Q)
|
87% |
10211
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1569
58.1 IPS |
|
|
Text Classification (SP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
446
595.1 IPS |
|
|
Text Classification (Q)
|
97% |
826
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1518
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
68% |
1919
37.1 IPS |
