| User | R008 |
| Upload Date | August 01 2025 07:39 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770M Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC12SNKi72 |
| Motherboard | Intel Corporation NUC12SNKi72 |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4455
828.6 IPS |
|
|
Image Classification (HP)
|
100% |
5452
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7113
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11332
183.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14685
238.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16362
265.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
58921
68.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
47720
55.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
169647
198.6 IPS |
|
|
Object Detection (SP)
|
100% |
5137
407.5 IPS |
|
|
Object Detection (HP)
|
99% |
6519
518.5 IPS |
|
|
Object Detection (Q)
|
88% |
8771
702.9 IPS |
|
|
Face Detection (SP)
|
100% |
20973
249.2 IPS |
|
|
Face Detection (HP)
|
100% |
26043
309.5 IPS |
|
|
Face Detection (Q)
|
100% |
29350
348.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19937
153.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
26985
208.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
41315
321.1 IPS |
|
|
Style Transfer (SP)
|
100% |
152534
196.1 IPS |
|
|
Style Transfer (HP)
|
100% |
47283
60.8 IPS |
|
|
Style Transfer (Q)
|
98% |
358545
462.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14196
524.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18435
680.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22428
830.6 IPS |
|
|
Text Classification (SP)
|
71% |
704
1.02 KIPS |
|
|
Text Classification (HP)
|
71% |
976
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1085
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1777
30.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1752
30.3 IPS |