| User | jpoley |
| Upload Date | November 23 2025 10:07 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | ASUSTeK COMPUTER INC. NUC14SRK |
| Motherboard | ASUSTeK COMPUTER INC. NUC14SRB |
| 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 | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.17 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1737
323.0 IPS |
|
|
Image Classification (HP)
|
100% |
1695
315.1 IPS |
|
|
Image Classification (Q)
|
99% |
1119
208.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1099
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2626
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
3447
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (Q)
|
85% |
1012
81.5 IPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
2545
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2689
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2688
20.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2178
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3426
4.40 IPS |
|
|
Style Transfer (HP)
|
100% |
3417
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
6070
7.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2111
78.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1345
49.9 IPS |
|
|
Text Classification (SP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1144
1.53 KIPS |
|
|
Text Classification (Q)
|
92% |
424
569.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1733
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (Q)
|
58% |
564
13.2 IPS |