| User | zedmanauk |
| Upload Date | September 04 2025 12:57 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited DeskMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F1FXM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3218
598.5 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (Q)
|
99% |
8297
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11916
193.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8499
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
6805
7.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
35088
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
3188
252.9 IPS |
|
|
Object Detection (HP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (Q)
|
86% |
9370
753.0 IPS |
|
|
Face Detection (SP)
|
100% |
6490
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
11274
134.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9364
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2433
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
18939
151.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18346
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16964
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32060
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2287
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2137
78.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4479
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
1349
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
734
980.1 IPS |
|
|
Text Classification (Q)
|
97% |
1297
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3111
62.5 IPS |