| User | Zafarbek05 |
| Upload Date | October 12 2024 11:41 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HP HP Laptop 15s-fq5xxx |
| Motherboard | HP 8A20 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1885
350.5 IPS |
|
|
Image Classification (HP)
|
100% |
2704
502.8 IPS |
|
|
Image Classification (Q)
|
99% |
3167
590.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2612
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4390
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5099
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6647
7.76 IPS |
|
|
Pose Estimation (HP)
|
99% |
4951
5.78 IPS |
|
|
Pose Estimation (Q)
|
97% |
22454
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
2576
204.3 IPS |
|
|
Object Detection (Q)
|
90% |
3648
291.7 IPS |
|
|
Face Detection (SP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7371
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
11724
139.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6766
52.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10579
81.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
13868
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17399
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27376
35.2 IPS |
|
|
Style Transfer (Q)
|
98% |
48695
62.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2759
101.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4078
150.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7739
286.6 IPS |
|
|
Text Classification (SP)
|
71% |
834
1.21 KIPS |
|
|
Text Classification (HP)
|
71% |
892
1.29 KIPS |
|
|
Text Classification (Q)
|
92% |
803
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
891
15.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1158
20.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1044
18.0 IPS |