ASUS System Product Name
Geekbench AI Score
11129
Single Precision Score
17014
Half Precision Score
8214
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | howdoyouclick |
| Upload Date | February 23 2025 10:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550-PLUS |
| Power Plan | High performance |
| 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% |
4978
925.7 IPS |
|
|
Image Classification (HP)
|
99% |
7267
1.36 KIPS |
|
|
Image Classification (Q)
|
99% |
3950
736.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5458
88.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6775
109.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4802
78.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
68492
79.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
161772
188.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
56337
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
5311
421.3 IPS |
|
|
Object Detection (HP)
|
100% |
7731
613.2 IPS |
|
|
Object Detection (Q)
|
84% |
4415
356.1 IPS |
|
|
Face Detection (SP)
|
100% |
11851
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
16084
191.1 IPS |
|
|
Face Detection (Q)
|
97% |
9947
118.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
31281
241.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
57550
444.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
22317
178.6 IPS |
|
|
Style Transfer (SP)
|
100% |
112646
144.8 IPS |
|
|
Style Transfer (HP)
|
100% |
254987
327.8 IPS |
|
|
Style Transfer (Q)
|
98% |
90564
116.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18832
695.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29081
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12652
468.5 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2699
3.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1175
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1782
30.7 IPS |
|
|
Machine Translation (Q)
|
70% |
992
18.6 IPS |
