Dell Inc. Dell Pro 14 PC14250
Geekbench AI Score
2639
Single Precision Score
8184
Half Precision Score
12120
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 07:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Dell Pro 14 PC14250 |
| Motherboard | Dell Inc. 0VJH5M |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
5382
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
7589
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3228
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3477
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
31043
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
64585
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
100% |
5014
397.7 IPS |
|
|
Object Detection (Q)
|
87% |
7781
624.5 IPS |
|
|
Face Detection (SP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
13725
163.1 IPS |
|
|
Face Detection (Q)
|
100% |
21909
260.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4278
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15734
121.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
31282
243.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10541
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
46748
60.1 IPS |
|
|
Style Transfer (Q)
|
98% |
80645
104.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12157
448.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19389
718.0 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1836
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
1775
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2173
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2939
50.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2922
50.3 IPS |
