| Upload Date | August 11 2024 08:41 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| 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% |
1590
295.7 IPS |
|
|
Image Classification (HP)
|
100% |
1597
297.0 IPS |
|
|
Image Classification (Q)
|
100% |
4337
806.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4352
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4469
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3866
4.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
14187
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (Q)
|
88% |
4259
341.4 IPS |
|
|
Face Detection (SP)
|
100% |
5040
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
5009
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
10106
120.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4455
34.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
4431
34.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
11774
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10548
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11044
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
39689
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2473
91.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2461
90.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8308
307.7 IPS |
|
|
Text Classification (SP)
|
100% |
702
937.0 IPS |
|
|
Text Classification (HP)
|
100% |
723
964.6 IPS |
|
|
Text Classification (Q)
|
92% |
2842
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (Q)
|
85% |
3608
63.1 IPS |