User | nithinmohantk |
Upload Date | June 23 2025 04:19 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% |
8077
1.50 KIPS |
|
Image Classification (HP)
|
100% |
14950
2.78 KIPS |
|
Image Classification (Q)
|
100% |
7025
1.31 KIPS |
|
Image Segmentation (SP)
|
100% |
13877
225.0 IPS |
|
Image Segmentation (HP)
|
100% |
20752
336.4 IPS |
|
Image Segmentation (Q)
|
98% |
12835
208.7 IPS |
|
Pose Estimation (SP)
|
100% |
101000
117.8 IPS |
|
Pose Estimation (HP)
|
100% |
313232
365.5 IPS |
|
Pose Estimation (Q)
|
94% |
85038
99.7 IPS |
|
Object Detection (SP)
|
100% |
10703
849.0 IPS |
|
Object Detection (HP)
|
100% |
17353
1.38 KIPS |
|
Object Detection (Q)
|
89% |
8670
694.2 IPS |
|
Face Detection (SP)
|
100% |
24486
291.0 IPS |
|
Face Detection (HP)
|
100% |
40073
476.2 IPS |
|
Face Detection (Q)
|
97% |
19981
238.2 IPS |
|
Depth Estimation (SP)
|
100% |
48403
372.9 IPS |
|
Depth Estimation (HP)
|
99% |
95409
735.1 IPS |
|
Depth Estimation (Q)
|
76% |
38209
307.1 IPS |
|
Style Transfer (SP)
|
100% |
149891
192.7 IPS |
|
Style Transfer (HP)
|
100% |
515759
663.0 IPS |
|
Style Transfer (Q)
|
98% |
128719
166.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
28051
1.04 KIPS |
|
Image Super-Resolution (HP)
|
100% |
56450
2.08 KIPS |
|
Image Super-Resolution (Q)
|
99% |
22108
818.6 IPS |
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
Text Classification (Q)
|
97% |
2147
2.88 KIPS |
|
Machine Translation (SP)
|
100% |
4603
79.3 IPS |
|
Machine Translation (HP)
|
100% |
4932
85.0 IPS |
|
Machine Translation (Q)
|
60% |
1690
37.7 IPS |