| Upload Date | November 09 2025 03:53 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer TravelMate X414-51 |
| Motherboard | LNL Lute_LNV |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 228V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5704
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
12008
2.23 KIPS |
|
|
Image Classification (Q)
|
100% |
15990
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8946
145.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23540
381.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27385
443.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20163
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
110359
128.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
198566
232.5 IPS |
|
|
Object Detection (SP)
|
100% |
5245
416.0 IPS |
|
|
Object Detection (HP)
|
100% |
12763
1.01 KIPS |
|
|
Object Detection (Q)
|
88% |
13664
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
14054
167.0 IPS |
|
|
Face Detection (HP)
|
100% |
31286
371.7 IPS |
|
|
Face Detection (Q)
|
100% |
38835
461.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19868
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43579
335.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
53155
413.4 IPS |
|
|
Style Transfer (SP)
|
100% |
45284
58.2 IPS |
|
|
Style Transfer (HP)
|
100% |
133296
171.4 IPS |
|
|
Style Transfer (Q)
|
98% |
144763
186.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8328
307.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28084
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29043
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4653
6.21 KIPS |
|
|
Text Classification (Q)
|
92% |
2757
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3378
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7169
123.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7290
125.6 IPS |