| Upload Date | August 11 2024 07:31 PM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1710
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
145
26.9 IPS |
|
|
Image Classification (Q)
|
99% |
3221
600.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
2469
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5516
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3518
4.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
21385
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
1868
148.1 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (Q)
|
88% |
1770
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
3762
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
310
3.69 IPS |
|
|
Face Detection (Q)
|
97% |
4005
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6493
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
928
7.15 IPS |
|
|
Depth Estimation (Q)
|
76% |
8099
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13492
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8831
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20388
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3832
141.9 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
611
816.0 IPS |
|
|
Text Classification (Q)
|
97% |
535
716.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1763
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2131
47.5 IPS |