| User | exodus24 |
| Upload Date | August 30 2024 07:14 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.4 IPS |
|
|
Image Classification (Q)
|
99% |
5942
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2708
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
4557
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18562
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12836
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
73884
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
3309
262.5 IPS |
|
|
Object Detection (HP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (Q)
|
88% |
3484
279.3 IPS |
|
|
Face Detection (SP)
|
100% |
5079
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.41 IPS |
|
|
Face Detection (Q)
|
97% |
7152
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12792
98.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1398
10.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
16533
133.2 IPS |
|
|
Style Transfer (SP)
|
100% |
34377
44.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30369
39.0 IPS |
|
|
Style Transfer (Q)
|
98% |
48675
62.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4255
157.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6376
236.1 IPS |
|
|
Text Classification (SP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1791
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4010
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
60% |
4091
91.2 IPS |