| User | mnin |
| Upload Date | August 16 2024 04:33 PM |
| Views | 12 |
| 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. NUC14RVS-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVS |
| Power Plan | Balanced |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5894
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
8143
1.51 KIPS |
|
|
Image Classification (Q)
|
100% |
9380
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4382
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9998
162.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15627
253.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23877
27.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23350
27.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
22719
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
5221
414.1 IPS |
|
|
Object Detection (HP)
|
100% |
8283
657.0 IPS |
|
|
Object Detection (Q)
|
88% |
11891
952.9 IPS |
|
|
Face Detection (SP)
|
100% |
8879
105.5 IPS |
|
|
Face Detection (HP)
|
100% |
18578
220.8 IPS |
|
|
Face Detection (Q)
|
100% |
31561
375.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19346
149.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34539
266.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
46790
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
60270
77.5 IPS |
|
|
Style Transfer (HP)
|
100% |
74145
95.3 IPS |
|
|
Style Transfer (Q)
|
98% |
177449
228.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8997
332.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17628
650.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24278
899.1 IPS |
|
|
Text Classification (SP)
|
71% |
1902
2.75 KIPS |
|
|
Text Classification (HP)
|
71% |
2645
3.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2799
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2952
50.8 IPS |
|
|
Machine Translation (HP)
|
96% |
3806
65.8 IPS |
|
|
Machine Translation (Q)
|
89% |
3618
62.9 IPS |