Dell Inc. Dell Pro 14 Plus PB14250
Geekbench AI Score
5608
Single Precision Score
8853
Half Precision Score
13822
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 01:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 14 Plus PB14250 |
| Motherboard | Dell Inc. 039NN6 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3636
676.2 IPS |
|
|
Image Classification (HP)
|
100% |
5742
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7462
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3932
63.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8704
141.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13381
216.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12645
14.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
11636
13.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
40035
46.9 IPS |
|
|
Object Detection (SP)
|
100% |
3463
274.7 IPS |
|
|
Object Detection (HP)
|
100% |
5892
467.4 IPS |
|
|
Object Detection (Q)
|
88% |
8895
712.9 IPS |
|
|
Face Detection (SP)
|
100% |
7424
88.2 IPS |
|
|
Face Detection (HP)
|
100% |
14564
173.0 IPS |
|
|
Face Detection (Q)
|
100% |
23399
278.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12307
94.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
21276
164.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26991
209.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30569
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
43654
56.1 IPS |
|
|
Style Transfer (Q)
|
98% |
94369
121.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5167
190.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9177
338.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15558
576.2 IPS |
|
|
Text Classification (SP)
|
71% |
1540
2.23 KIPS |
|
|
Text Classification (HP)
|
71% |
2307
3.34 KIPS |
|
|
Text Classification (Q)
|
92% |
2526
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (HP)
|
96% |
3015
52.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3058
52.7 IPS |
