| User | gesposito |
| Upload Date | November 14 2025 05:01 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro 14 Plus PB14250 |
| Motherboard | Dell Inc. 0CFTXM |
| 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% |
2492
463.4 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
99% |
5419
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7474
121.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5068
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3479
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
17879
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.5 IPS |
|
|
Object Detection (HP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
86% |
5384
432.7 IPS |
|
|
Face Detection (SP)
|
100% |
6688
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
1460
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
8492
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6387
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2115
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13979
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12224
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8885
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22921
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2225
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4376
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
492
657.0 IPS |
|
|
Text Classification (Q)
|
97% |
1374
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (Q)
|
65% |
2629
52.8 IPS |