Dell Inc. Dell Pro 14 Premium PA14250
Geekbench AI Score
2643
Single Precision Score
24800
Half Precision Score
35032
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 27 2026 03:11 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 Premium PA14250 |
| Motherboard | Dell Inc. 0Y1TG5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 266V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1624
302.0 IPS |
|
|
Image Classification (HP)
|
100% |
11434
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
15130
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19273
312.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
31445
509.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2857
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
110893
129.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
244867
286.8 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
12725
1.01 KIPS |
|
|
Object Detection (Q)
|
88% |
13490
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4672
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
34563
410.7 IPS |
|
|
Face Detection (Q)
|
100% |
51291
609.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3867
29.8 IPS |
|
|
Depth Estimation (HP)
|
92% |
78624
609.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
143594
1.12 KIPS |
|
|
Style Transfer (SP)
|
100% |
8440
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
240023
308.6 IPS |
|
|
Style Transfer (Q)
|
98% |
348608
449.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39259
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58918
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2146
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2823
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5114
88.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5457
94.0 IPS |
