| User | danderso567 |
| Upload Date | April 26 2025 02:19 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Laptop 15-fd1xxx |
| Motherboard | HP 8CAC |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5641
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
8740
1.63 KIPS |
|
|
Image Classification (Q)
|
100% |
10176
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4456
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11381
184.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17738
287.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24222
28.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
22485
26.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
76867
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
5109
405.3 IPS |
|
|
Object Detection (HP)
|
100% |
9183
728.4 IPS |
|
|
Object Detection (Q)
|
88% |
13412
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
8114
96.4 IPS |
|
|
Face Detection (HP)
|
100% |
16785
199.4 IPS |
|
|
Face Detection (Q)
|
100% |
28067
333.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19014
146.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
33103
255.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
39847
309.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53388
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66732
85.8 IPS |
|
|
Style Transfer (Q)
|
98% |
174278
224.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8704
321.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15355
567.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23137
856.8 IPS |
|
|
Text Classification (SP)
|
71% |
1689
2.44 KIPS |
|
|
Text Classification (HP)
|
71% |
2369
3.43 KIPS |
|
|
Text Classification (Q)
|
92% |
2511
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2574
44.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3255
56.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3446
59.4 IPS |