ASUS System Product Name
Geekbench AI Score
3273
Single Precision Score
1365
Half Precision Score
3540
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 05 2025 04:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B450M-PLUS II |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2819
524.2 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
96% |
3003
560.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
3754
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6939
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5300
6.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
6655
7.87 IPS |
|
|
Object Detection (SP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
58% |
2167
236.8 IPS |
|
|
Face Detection (SP)
|
100% |
4462
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (Q)
|
96% |
6159
73.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7689
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1974
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7186
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14841
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11790
15.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12425
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2056
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1778
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2146
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
1265
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
567
757.3 IPS |
|
|
Text Classification (Q)
|
97% |
904
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
68% |
1783
34.5 IPS |
