| Upload Date | November 13 2025 01:06 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro 14 Plus PB14250 |
| Motherboard | Dell Inc. 00YYVX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7150
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
14418
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
18016
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8821
143.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24944
404.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30157
488.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22846
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
126541
147.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
258334
302.4 IPS |
|
|
Object Detection (SP)
|
100% |
6350
503.7 IPS |
|
|
Object Detection (HP)
|
100% |
14349
1.14 KIPS |
|
|
Object Detection (Q)
|
88% |
16736
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
13092
155.6 IPS |
|
|
Face Detection (HP)
|
100% |
27902
331.5 IPS |
|
|
Face Detection (Q)
|
100% |
40871
485.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21119
162.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57073
439.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
65036
505.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53585
68.9 IPS |
|
|
Style Transfer (HP)
|
100% |
151078
194.2 IPS |
|
|
Style Transfer (Q)
|
98% |
175574
226.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9016
332.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25368
936.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31769
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4358
5.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5495
7.33 KIPS |
|
|
Text Classification (Q)
|
92% |
3131
4.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6522
112.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6325
109.0 IPS |