ASUS System Product Name
Geekbench AI Score
15418
Single Precision Score
26791
Half Precision Score
10403
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yotsuya |
| Upload Date | August 13 2025 03:33 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-A WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6540
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10824
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
4834
901.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10807
175.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17607
285.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8617
140.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
71856
83.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
203270
237.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
59182
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
7903
626.8 IPS |
|
|
Object Detection (HP)
|
100% |
14191
1.13 KIPS |
|
|
Object Detection (Q)
|
84% |
6125
494.0 IPS |
|
|
Face Detection (SP)
|
100% |
18382
218.4 IPS |
|
|
Face Detection (HP)
|
100% |
30547
363.0 IPS |
|
|
Face Detection (Q)
|
97% |
14417
171.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
37104
285.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
69976
540.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
25176
201.5 IPS |
|
|
Style Transfer (SP)
|
100% |
121742
156.5 IPS |
|
|
Style Transfer (HP)
|
100% |
312451
401.7 IPS |
|
|
Style Transfer (Q)
|
98% |
97196
125.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22203
819.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37263
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14117
522.7 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
3233
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1279
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4193
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4308
74.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1544
29.0 IPS |
