| Upload Date | August 15 2024 03:50 AM |
| Views | 24 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVH-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5494
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
8227
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
9432
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4357
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10917
177.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14287
231.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24315
28.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
21830
25.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
70969
83.1 IPS |
|
|
Object Detection (SP)
|
100% |
5316
421.6 IPS |
|
|
Object Detection (HP)
|
100% |
8690
689.3 IPS |
|
|
Object Detection (Q)
|
88% |
12171
975.3 IPS |
|
|
Face Detection (SP)
|
100% |
8927
106.1 IPS |
|
|
Face Detection (HP)
|
100% |
18434
219.0 IPS |
|
|
Face Detection (Q)
|
100% |
31189
370.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19047
146.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34561
267.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
46060
365.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56029
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
75438
97.0 IPS |
|
|
Style Transfer (Q)
|
98% |
175895
226.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8864
327.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15714
580.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24636
912.4 IPS |
|
|
Text Classification (SP)
|
71% |
1781
2.58 KIPS |
|
|
Text Classification (HP)
|
71% |
2542
3.68 KIPS |
|
|
Text Classification (Q)
|
92% |
2645
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2922
50.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3776
65.3 IPS |
|
|
Machine Translation (Q)
|
89% |
3600
62.6 IPS |