Dell Inc. Dell Pro 14 Premium PA14250
Geekbench AI Score
2846
Single Precision Score
30464
Half Precision Score
49886
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2026 12:37 PM |
| Views | 4 |
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 Premium PA14250 |
| Motherboard | Dell Inc. 0NGT53 |
| Power Plan | Zrwnowaony |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1941
360.9 IPS |
|
|
Image Classification (HP)
|
100% |
15687
2.92 KIPS |
|
|
Image Classification (Q)
|
100% |
21964
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20250
328.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
34711
562.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2934
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
114703
133.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
255185
298.9 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
100% |
17824
1.41 KIPS |
|
|
Object Detection (Q)
|
88% |
28230
2.26 KIPS |
|
|
Face Detection (SP)
|
100% |
4976
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
42082
500.0 IPS |
|
|
Face Detection (Q)
|
100% |
95829
1.14 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4147
32.0 IPS |
|
|
Depth Estimation (HP)
|
92% |
81912
635.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
174230
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
8015
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
209861
269.8 IPS |
|
|
Style Transfer (Q)
|
98% |
361660
466.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47467
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76294
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (Q)
|
92% |
3568
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10049
173.1 IPS |
|
|
Machine Translation (Q)
|
100% |
10574
182.1 IPS |
