| User | petergrip |
| Upload Date | April 16 2025 03:06 PM |
| Views | 7 |
| 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. 00YYVX |
| 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% |
1883
350.2 IPS |
|
|
Image Classification (HP)
|
100% |
1404
261.2 IPS |
|
|
Image Classification (Q)
|
100% |
5442
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4764
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3481
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
12601
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1856
147.3 IPS |
|
|
Object Detection (HP)
|
100% |
1366
108.4 IPS |
|
|
Object Detection (Q)
|
88% |
5519
442.4 IPS |
|
|
Face Detection (SP)
|
100% |
5683
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
4386
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
14187
168.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4764
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3417
26.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14326
111.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10165
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6679
8.59 IPS |
|
|
Style Transfer (Q)
|
98% |
36685
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7672
284.1 IPS |
|
|
Text Classification (SP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1455
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
4388
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2914
50.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3586
61.8 IPS |