| User | Aaronage |
| Upload Date | September 06 2024 04:26 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3809
708.4 IPS |
|
|
Image Classification (HP)
|
100% |
931
173.1 IPS |
|
|
Image Classification (Q)
|
99% |
8704
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2581
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3349
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9987
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8613
10.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
44573
52.2 IPS |
|
|
Object Detection (SP)
|
100% |
4108
325.8 IPS |
|
|
Object Detection (HP)
|
100% |
1115
88.5 IPS |
|
|
Object Detection (Q)
|
88% |
4326
346.8 IPS |
|
|
Face Detection (SP)
|
100% |
5106
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
2582
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
7091
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11108
85.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3673
28.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16081
128.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23551
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20003
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38521
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5433
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3804
140.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7366
272.7 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1170
1.56 KIPS |
|
|
Text Classification (Q)
|
97% |
662
887.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4336
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3776
84.2 IPS |