| User | james_kwit |
| Upload Date | July 27 2025 01:27 AM |
| Views | 6 |
| 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 |
| 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% |
4286
797.1 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.8 IPS |
|
|
Image Classification (Q)
|
99% |
9199
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2341
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4305
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19702
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11986
14.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
56159
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
4601
365.0 IPS |
|
|
Object Detection (HP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (Q)
|
86% |
9913
796.7 IPS |
|
|
Face Detection (SP)
|
100% |
7191
85.4 IPS |
|
|
Face Detection (HP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
12477
148.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14061
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3133
24.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
23304
186.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32532
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25948
33.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39630
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3403
125.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2640
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4762
176.3 IPS |
|
|
Text Classification (SP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1609
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3023
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4162
83.6 IPS |