User | danm1988 |
Upload Date | May 23 2025 05:39 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | GPU |
Device | Intel(R) Arc(TM) Graphics (iGPU) |
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% |
4719
877.5 IPS |
|
Image Classification (HP)
|
100% |
6905
1.28 KIPS |
|
Image Classification (Q)
|
100% |
8625
1.60 KIPS |
|
Image Segmentation (SP)
|
100% |
4324
70.1 IPS |
|
Image Segmentation (HP)
|
100% |
10412
168.8 IPS |
|
Image Segmentation (Q)
|
99% |
16067
260.5 IPS |
|
Pose Estimation (SP)
|
100% |
18320
21.4 IPS |
|
Pose Estimation (HP)
|
99% |
17658
20.7 IPS |
|
Pose Estimation (Q)
|
97% |
59096
69.2 IPS |
|
Object Detection (SP)
|
100% |
4475
355.0 IPS |
|
Object Detection (HP)
|
100% |
7292
578.4 IPS |
|
Object Detection (Q)
|
88% |
10597
849.2 IPS |
|
Face Detection (SP)
|
100% |
8317
98.8 IPS |
|
Face Detection (HP)
|
100% |
16362
194.4 IPS |
|
Face Detection (Q)
|
100% |
25747
305.9 IPS |
|
Depth Estimation (SP)
|
100% |
15463
119.1 IPS |
|
Depth Estimation (HP)
|
98% |
26547
205.2 IPS |
|
Depth Estimation (Q)
|
89% |
31561
245.3 IPS |
|
Style Transfer (SP)
|
100% |
43832
56.3 IPS |
|
Style Transfer (HP)
|
100% |
59082
76.0 IPS |
|
Style Transfer (Q)
|
98% |
138626
178.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
7101
262.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
12626
466.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
18314
678.2 IPS |
|
Text Classification (SP)
|
71% |
1395
2.02 KIPS |
|
Text Classification (HP)
|
71% |
2129
3.08 KIPS |
|
Text Classification (Q)
|
92% |
2098
2.82 KIPS |
|
Machine Translation (SP)
|
100% |
2338
40.3 IPS |
|
Machine Translation (HP)
|
96% |
2986
51.6 IPS |
|
Machine Translation (Q)
|
100% |
2991
51.5 IPS |