| User | sfs1 |
| Upload Date | November 27 2024 03:06 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC13ANKi5 |
| Motherboard | Intel Corporation NUC13ANBi5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1340P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2421
450.3 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (Q)
|
99% |
4433
826.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3449
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5564
90.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6817
110.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8359
9.75 IPS |
|
|
Pose Estimation (HP)
|
99% |
6221
7.26 IPS |
|
|
Pose Estimation (Q)
|
97% |
27993
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
2270
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
3349
265.6 IPS |
|
|
Object Detection (Q)
|
90% |
4765
381.0 IPS |
|
|
Face Detection (SP)
|
100% |
5845
69.4 IPS |
|
|
Face Detection (HP)
|
100% |
9890
117.5 IPS |
|
|
Face Detection (Q)
|
100% |
15086
179.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8671
66.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13491
104.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
18032
140.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21461
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31211
40.1 IPS |
|
|
Style Transfer (Q)
|
98% |
60742
78.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3458
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5167
190.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10515
389.4 IPS |
|
|
Text Classification (SP)
|
71% |
1294
1.87 KIPS |
|
|
Text Classification (HP)
|
71% |
1406
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
1360
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1629
28.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1612
27.8 IPS |