Dell Inc. Dell Pro 14 Premium PA14250
Geekbench AI Score
1467
Single Precision Score
27407
Half Precision Score
45549
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 04:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro 14 Premium PA14250 |
| Motherboard | Dell Inc. 0JT1RM |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
770
143.3 IPS |
|
|
Image Classification (HP)
|
100% |
14450
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
19869
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19221
311.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32514
527.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1735
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
109855
128.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
249018
291.7 IPS |
|
|
Object Detection (SP)
|
100% |
782
62.0 IPS |
|
|
Object Detection (HP)
|
100% |
16360
1.30 KIPS |
|
|
Object Detection (Q)
|
88% |
26199
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
2244
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
36650
435.5 IPS |
|
|
Face Detection (Q)
|
100% |
76495
908.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1871
14.4 IPS |
|
|
Depth Estimation (HP)
|
92% |
75704
587.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
144077
1.12 KIPS |
|
|
Style Transfer (SP)
|
100% |
4516
5.81 IPS |
|
|
Style Transfer (HP)
|
100% |
225258
289.6 IPS |
|
|
Style Transfer (Q)
|
98% |
396009
510.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39693
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74364
2.75 KIPS |
|
|
Text Classification (SP)
|
100% |
1162
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
3685
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6935
119.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7627
131.4 IPS |
