| User | asvnpr |
| Upload Date | December 14 2025 07:38 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13343
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
19624
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
11788
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26418
428.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
39322
637.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23534
382.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
175559
204.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
711185
829.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
158333
185.5 IPS |
|
|
Object Detection (SP)
|
100% |
17436
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
28400
2.25 KIPS |
|
|
Object Detection (Q)
|
86% |
14459
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
52040
618.3 IPS |
|
|
Face Detection (HP)
|
100% |
75055
891.8 IPS |
|
|
Face Detection (Q)
|
97% |
41949
500.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
85606
659.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
148396
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64089
511.8 IPS |
|
|
Style Transfer (SP)
|
100% |
322926
415.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1007289
1.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
266755
344.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47102
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76641
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36015
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4183
5.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2223
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
7183
123.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7161
123.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3082
57.8 IPS |