User | nithinmohantk |
Upload Date | June 23 2025 04:34 PM |
Views | 4 |
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% |
8178
1.52 KIPS |
|
Image Classification (HP)
|
100% |
15052
2.80 KIPS |
|
Image Classification (Q)
|
100% |
7019
1.31 KIPS |
|
Image Segmentation (SP)
|
100% |
14213
230.4 IPS |
|
Image Segmentation (HP)
|
100% |
21409
347.1 IPS |
|
Image Segmentation (Q)
|
98% |
13078
212.7 IPS |
|
Pose Estimation (SP)
|
100% |
101663
118.6 IPS |
|
Pose Estimation (HP)
|
100% |
315116
367.7 IPS |
|
Pose Estimation (Q)
|
94% |
84993
99.7 IPS |
|
Object Detection (SP)
|
100% |
10733
851.4 IPS |
|
Object Detection (HP)
|
100% |
17614
1.40 KIPS |
|
Object Detection (Q)
|
89% |
8764
701.7 IPS |
|
Face Detection (SP)
|
100% |
24576
292.0 IPS |
|
Face Detection (HP)
|
100% |
40245
478.2 IPS |
|
Face Detection (Q)
|
97% |
20027
238.8 IPS |
|
Depth Estimation (SP)
|
100% |
49330
380.1 IPS |
|
Depth Estimation (HP)
|
99% |
96239
741.5 IPS |
|
Depth Estimation (Q)
|
76% |
38797
311.9 IPS |
|
Style Transfer (SP)
|
100% |
153138
196.9 IPS |
|
Style Transfer (HP)
|
100% |
531530
683.3 IPS |
|
Style Transfer (Q)
|
98% |
129375
166.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
28438
1.05 KIPS |
|
Image Super-Resolution (HP)
|
100% |
55926
2.07 KIPS |
|
Image Super-Resolution (Q)
|
99% |
22191
821.7 IPS |
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
Text Classification (HP)
|
100% |
4015
5.36 KIPS |
|
Text Classification (Q)
|
97% |
2177
2.92 KIPS |
|
Machine Translation (SP)
|
100% |
4615
79.5 IPS |
|
Machine Translation (HP)
|
100% |
4811
82.9 IPS |
|
Machine Translation (Q)
|
60% |
1687
37.6 IPS |