| Upload Date | August 16 2024 10:09 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14SRK |
| Motherboard | ASUSTeK COMPUTER INC. NUC14SRB |
| Power Plan | Turbo |
| 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 | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5444
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
7839
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
9126
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4206
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10572
171.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13410
217.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24665
28.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
23514
27.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
78257
91.6 IPS |
|
|
Object Detection (SP)
|
100% |
5163
409.5 IPS |
|
|
Object Detection (HP)
|
100% |
8348
662.1 IPS |
|
|
Object Detection (Q)
|
88% |
11662
934.5 IPS |
|
|
Face Detection (SP)
|
100% |
8181
97.2 IPS |
|
|
Face Detection (HP)
|
100% |
16811
199.7 IPS |
|
|
Face Detection (Q)
|
100% |
28996
344.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18808
144.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33856
261.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
44923
356.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55866
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
73639
94.7 IPS |
|
|
Style Transfer (Q)
|
98% |
178436
230.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9263
342.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15731
580.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23688
877.2 IPS |
|
|
Text Classification (SP)
|
71% |
2086
3.02 KIPS |
|
|
Text Classification (HP)
|
71% |
2782
4.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2948
3.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (HP)
|
96% |
3238
56.0 IPS |
|
|
Machine Translation (Q)
|
89% |
2909
50.6 IPS |