| User | npetroff |
| Upload Date | November 18 2024 08:16 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MV_N6506MV |
| Motherboard | ASUSTeK COMPUTER INC. N6506MV |
| 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 | 40.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1695
315.2 IPS |
|
|
Image Classification (HP)
|
100% |
1649
306.6 IPS |
|
|
Image Classification (Q)
|
100% |
5292
984.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4903
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4984
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4601
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
18172
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (Q)
|
88% |
5414
434.0 IPS |
|
|
Face Detection (SP)
|
100% |
4734
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
4955
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
10929
129.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4604
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4857
37.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
12520
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12987
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13720
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
49560
63.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9098
336.9 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
3199
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2409
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2343
40.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2238
38.5 IPS |