Upload Date | August 20 2025 10:28 PM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5060 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Micro Computer (HK) Tech Limited MotherBoard |
Motherboard | Shenzhen Meigao Electronic Equipment Co..Ltd ADFXI |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i9-12900HK |
Topology | 1 Processor, 14 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
Base Frequency | 2.50 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
6897
1.28 KIPS |
|
Image Classification (HP)
|
100% |
13692
2.55 KIPS |
|
Image Classification (Q)
|
99% |
6364
1.19 KIPS |
|
Image Segmentation (SP)
|
100% |
12951
209.9 IPS |
|
Image Segmentation (HP)
|
100% |
18662
302.5 IPS |
|
Image Segmentation (Q)
|
98% |
11733
190.8 IPS |
|
Pose Estimation (SP)
|
100% |
95981
112.0 IPS |
|
Pose Estimation (HP)
|
100% |
291353
340.0 IPS |
|
Pose Estimation (Q)
|
96% |
80495
94.3 IPS |
|
Object Detection (SP)
|
100% |
9807
777.9 IPS |
|
Object Detection (HP)
|
100% |
15573
1.24 KIPS |
|
Object Detection (Q)
|
83% |
8088
653.5 IPS |
|
Face Detection (SP)
|
100% |
23353
277.5 IPS |
|
Face Detection (HP)
|
100% |
37805
449.2 IPS |
|
Face Detection (Q)
|
97% |
20556
245.1 IPS |
|
Depth Estimation (SP)
|
100% |
43809
337.5 IPS |
|
Depth Estimation (HP)
|
99% |
95074
732.5 IPS |
|
Depth Estimation (Q)
|
77% |
36581
292.5 IPS |
|
Style Transfer (SP)
|
100% |
144325
185.5 IPS |
|
Style Transfer (HP)
|
100% |
489352
629.1 IPS |
|
Style Transfer (Q)
|
98% |
123399
159.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
24803
915.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
48364
1.79 KIPS |
|
Image Super-Resolution (Q)
|
99% |
18599
688.7 IPS |
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
Text Classification (HP)
|
100% |
4156
5.55 KIPS |
|
Text Classification (Q)
|
97% |
1784
2.39 KIPS |
|
Machine Translation (SP)
|
100% |
3996
68.8 IPS |
|
Machine Translation (HP)
|
100% |
4285
73.8 IPS |
|
Machine Translation (Q)
|
70% |
1632
30.6 IPS |