| User | james_kwit |
| Upload Date | March 09 2025 11:44 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 | Micro Computer (HK) Tech Limited MS-A1 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd A5WSR |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4131
768.2 IPS |
|
|
Image Classification (HP)
|
100% |
638
118.7 IPS |
|
|
Image Classification (Q)
|
99% |
9837
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4418
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16370
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11166
13.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
52238
61.2 IPS |
|
|
Object Detection (SP)
|
100% |
4150
329.2 IPS |
|
|
Object Detection (HP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (Q)
|
86% |
10732
862.5 IPS |
|
|
Face Detection (SP)
|
100% |
6943
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
1783
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
12198
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12545
96.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3012
23.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
22434
179.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28060
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25401
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38383
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3280
121.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2737
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5211
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
1830
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1795
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2960
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3966
79.7 IPS |