| Upload Date | October 23 2025 04:56 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 14 Plus PB14250 |
| Motherboard | Dell Inc. 0CFTXM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1908
354.8 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (Q)
|
100% |
5247
975.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1089
17.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4991
80.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3323
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2257
2.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
13308
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.7 IPS |
|
|
Object Detection (HP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (Q)
|
88% |
5559
445.6 IPS |
|
|
Face Detection (SP)
|
100% |
5732
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
14056
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4733
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3285
25.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14347
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10119
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6684
8.59 IPS |
|
|
Style Transfer (Q)
|
98% |
37457
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2128
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7850
290.7 IPS |
|
|
Text Classification (SP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4415
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2958
50.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3474
59.8 IPS |