User | jeffreyschultz |
Upload Date | July 01 2025 03:54 AM |
Views | 7 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | NPU |
Device | Intel(R) AI Boost |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | KHADAS Mind 2s |
Motherboard | KHADAS MIND-2S-K1018 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 7 255H |
Topology | 1 Processor, 16 Cores |
Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
Base Frequency | 2.00 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2352
437.5 IPS |
|
Image Classification (HP)
|
100% |
7030
1.31 KIPS |
|
Image Classification (Q)
|
100% |
9754
1.81 KIPS |
|
Image Segmentation (SP)
|
100% |
3869
62.7 IPS |
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
Image Segmentation (Q)
|
99% |
3975
64.4 IPS |
|
Pose Estimation (SP)
|
100% |
6836
7.98 IPS |
|
Pose Estimation (HP)
|
100% |
34301
40.0 IPS |
|
Pose Estimation (Q)
|
96% |
74956
87.8 IPS |
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
Object Detection (HP)
|
100% |
6128
486.1 IPS |
|
Object Detection (Q)
|
87% |
10018
804.0 IPS |
|
Face Detection (SP)
|
100% |
8081
96.0 IPS |
|
Face Detection (HP)
|
100% |
16778
199.4 IPS |
|
Face Detection (Q)
|
100% |
28578
339.6 IPS |
|
Depth Estimation (SP)
|
100% |
6664
51.3 IPS |
|
Depth Estimation (HP)
|
99% |
19762
152.3 IPS |
|
Depth Estimation (Q)
|
88% |
36431
283.5 IPS |
|
Style Transfer (SP)
|
100% |
17540
22.5 IPS |
|
Style Transfer (HP)
|
100% |
54689
70.3 IPS |
|
Style Transfer (Q)
|
98% |
99124
127.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
3045
112.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
14253
526.3 IPS |
|
Image Super-Resolution (Q)
|
99% |
25759
954.0 IPS |
|
Text Classification (SP)
|
100% |
2708
3.61 KIPS |
|
Text Classification (HP)
|
100% |
2031
2.71 KIPS |
|
Text Classification (Q)
|
92% |
2045
2.75 KIPS |
|
Machine Translation (SP)
|
100% |
2882
49.6 IPS |
|
Machine Translation (HP)
|
100% |
4240
73.0 IPS |
|
Machine Translation (Q)
|
100% |
4338
74.7 IPS |