ASUS System Product Name
Geekbench AI Score
14944
Single Precision Score
25258
Half Precision Score
10216
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yotsuya |
| Upload Date | March 07 2025 10:17 PM |
| Views | 4 |
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% |
6560
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10647
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
4900
914.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9688
157.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14543
235.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7828
127.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
72379
84.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
190178
221.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
59628
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
7682
609.4 IPS |
|
|
Object Detection (HP)
|
100% |
13386
1.06 KIPS |
|
|
Object Detection (Q)
|
84% |
5901
475.9 IPS |
|
|
Face Detection (SP)
|
100% |
17687
210.2 IPS |
|
|
Face Detection (HP)
|
100% |
28211
335.2 IPS |
|
|
Face Detection (Q)
|
97% |
13989
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
37140
286.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
69173
534.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
25327
202.7 IPS |
|
|
Style Transfer (SP)
|
100% |
122600
157.6 IPS |
|
|
Style Transfer (HP)
|
100% |
311036
399.8 IPS |
|
|
Style Transfer (Q)
|
98% |
97602
125.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22383
826.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37416
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14274
528.6 IPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3244
4.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1284
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3640
62.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1449
27.2 IPS |
