Dell Inc. Dell Pro 14 PC14250
Geekbench AI Score
2553
Single Precision Score
8255
Half Precision Score
12193
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 07:25 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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
5677
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7614
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3207
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3557
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
31036
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
65374
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.4 IPS |
|
|
Object Detection (HP)
|
100% |
5129
406.9 IPS |
|
|
Object Detection (Q)
|
87% |
7892
633.4 IPS |
|
|
Face Detection (SP)
|
100% |
3825
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
13863
164.7 IPS |
|
|
Face Detection (Q)
|
100% |
21960
260.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3728
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15589
120.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30084
234.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9765
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
46937
60.3 IPS |
|
|
Style Transfer (Q)
|
98% |
85055
109.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12345
455.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19444
720.1 IPS |
|
|
Text Classification (SP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1922
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
1811
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2914
50.2 IPS |
