Dell Inc. Dell Pro 14 Plus PB14250
Geekbench AI Score
2644
Single Precision Score
26814
Half Precision Score
45392
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 05:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 14 Plus PB14250 |
| Motherboard | Dell Inc. 06WFGJ |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1522
283.1 IPS |
|
|
Image Classification (HP)
|
100% |
16298
3.03 KIPS |
|
|
Image Classification (Q)
|
100% |
22364
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16093
260.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26528
430.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2790
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
85790
100.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
190225
222.8 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
100% |
16985
1.35 KIPS |
|
|
Object Detection (Q)
|
88% |
28478
2.28 KIPS |
|
|
Face Detection (SP)
|
100% |
4845
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
40070
476.1 IPS |
|
|
Face Detection (Q)
|
100% |
94367
1.12 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4013
30.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
73523
568.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
147798
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
8669
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
179254
230.4 IPS |
|
|
Style Transfer (Q)
|
98% |
331422
427.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35686
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62904
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (Q)
|
92% |
3981
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8591
148.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9983
172.0 IPS |
