ASUS System Product Name
Geekbench AI Score
13008
Single Precision Score
21456
Half Precision Score
9173
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | RichardM66 |
| Upload Date | December 05 2024 03:34 PM |
| Views | 3 |
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. TUF GAMING A520M-PLUS II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5916
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
9398
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
4493
838.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7862
127.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10843
175.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6585
107.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
69722
81.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
176169
205.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57912
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
6515
516.8 IPS |
|
|
Object Detection (HP)
|
100% |
10970
870.1 IPS |
|
|
Object Detection (Q)
|
84% |
5192
418.7 IPS |
|
|
Face Detection (SP)
|
100% |
15026
178.5 IPS |
|
|
Face Detection (HP)
|
100% |
22938
272.5 IPS |
|
|
Face Detection (Q)
|
97% |
12109
144.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
32333
249.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
64952
501.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
22552
180.5 IPS |
|
|
Style Transfer (SP)
|
100% |
113834
146.3 IPS |
|
|
Style Transfer (HP)
|
100% |
283686
364.7 IPS |
|
|
Style Transfer (Q)
|
98% |
91600
118.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20212
746.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32181
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13239
490.2 IPS |
|
|
Text Classification (SP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (HP)
|
99% |
2797
3.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2700
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2760
47.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1209
22.7 IPS |
