User | nithinmohantk |
Upload Date | June 23 2025 04:16 PM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5060 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
Model | Micro Computer (HK) Tech Limited MotherBoard Series |
Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL |
Power Plan | Ryzen Optimized 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 | 96.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
8129
1.51 KIPS |
|
Image Classification (HP)
|
100% |
15057
2.80 KIPS |
|
Image Classification (Q)
|
100% |
6841
1.27 KIPS |
|
Image Segmentation (SP)
|
100% |
14074
228.2 IPS |
|
Image Segmentation (HP)
|
100% |
21048
341.2 IPS |
|
Image Segmentation (Q)
|
98% |
12961
210.8 IPS |
|
Pose Estimation (SP)
|
100% |
100465
117.2 IPS |
|
Pose Estimation (HP)
|
100% |
316300
369.1 IPS |
|
Pose Estimation (Q)
|
94% |
85091
99.8 IPS |
|
Object Detection (SP)
|
100% |
10625
842.8 IPS |
|
Object Detection (HP)
|
100% |
17412
1.38 KIPS |
|
Object Detection (Q)
|
89% |
8768
702.1 IPS |
|
Face Detection (SP)
|
100% |
24556
291.8 IPS |
|
Face Detection (HP)
|
100% |
39854
473.5 IPS |
|
Face Detection (Q)
|
97% |
19991
238.4 IPS |
|
Depth Estimation (SP)
|
100% |
48729
375.4 IPS |
|
Depth Estimation (HP)
|
99% |
95741
737.6 IPS |
|
Depth Estimation (Q)
|
76% |
38582
310.1 IPS |
|
Style Transfer (SP)
|
100% |
150991
194.1 IPS |
|
Style Transfer (HP)
|
100% |
530442
681.9 IPS |
|
Style Transfer (Q)
|
98% |
129043
166.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
28669
1.06 KIPS |
|
Image Super-Resolution (HP)
|
100% |
57180
2.11 KIPS |
|
Image Super-Resolution (Q)
|
99% |
22210
822.4 IPS |
|
Text Classification (SP)
|
100% |
3363
4.49 KIPS |
|
Text Classification (HP)
|
100% |
3976
5.31 KIPS |
|
Text Classification (Q)
|
97% |
2160
2.89 KIPS |
|
Machine Translation (SP)
|
100% |
4580
78.9 IPS |
|
Machine Translation (HP)
|
100% |
4805
82.8 IPS |
|
Machine Translation (Q)
|
60% |
1694
37.8 IPS |