User | danm1988 |
Upload Date | June 06 2025 09:45 PM |
Views | 13 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4080 SUPER |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro Computer (HK) Tech Limited AtomMan X Series |
Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd MTBAC |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core Ultra 9 185H |
Topology | 1 Processor, 16 Cores, 22 Threads |
Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
Base Frequency | 2.30 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 96.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
9987
1.86 KIPS |
|
Image Classification (HP)
|
99% |
12734
2.38 KIPS |
|
Image Classification (Q)
|
100% |
8874
1.65 KIPS |
|
Image Segmentation (SP)
|
100% |
14173
229.7 IPS |
|
Image Segmentation (HP)
|
100% |
16464
266.9 IPS |
|
Image Segmentation (Q)
|
98% |
13341
216.9 IPS |
|
Pose Estimation (SP)
|
100% |
244909
285.8 IPS |
|
Pose Estimation (HP)
|
100% |
418913
488.8 IPS |
|
Pose Estimation (Q)
|
96% |
214555
251.4 IPS |
|
Object Detection (SP)
|
100% |
12229
970.0 IPS |
|
Object Detection (HP)
|
100% |
15054
1.19 KIPS |
|
Object Detection (Q)
|
85% |
10754
865.1 IPS |
|
Face Detection (SP)
|
100% |
32765
389.3 IPS |
|
Face Detection (HP)
|
100% |
38762
460.6 IPS |
|
Face Detection (Q)
|
97% |
29606
353.0 IPS |
|
Depth Estimation (SP)
|
100% |
73975
569.9 IPS |
|
Depth Estimation (HP)
|
99% |
121816
941.1 IPS |
|
Depth Estimation (Q)
|
78% |
57975
463.0 IPS |
|
Style Transfer (SP)
|
100% |
346120
444.9 IPS |
|
Style Transfer (HP)
|
100% |
672498
864.5 IPS |
|
Style Transfer (Q)
|
98% |
306901
395.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
44405
1.64 KIPS |
|
Image Super-Resolution (HP)
|
100% |
56657
2.09 KIPS |
|
Image Super-Resolution (Q)
|
99% |
35528
1.32 KIPS |
|
Text Classification (SP)
|
100% |
3131
4.18 KIPS |
|
Text Classification (HP)
|
99% |
3719
4.96 KIPS |
|
Text Classification (Q)
|
97% |
1991
2.67 KIPS |
|
Machine Translation (SP)
|
100% |
3684
63.5 IPS |
|
Machine Translation (HP)
|
100% |
3640
62.7 IPS |
|
Machine Translation (Q)
|
70% |
2105
39.5 IPS |