Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
4843
Single Precision Score
9130
Half Precision Score
13730
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | February 07 2026 10:46 AM |
| Views | 11 |
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 Max 14 MC14250 |
| Motherboard | Dell Inc. 0Y5MVY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3489
648.8 IPS |
|
|
Image Classification (HP)
|
100% |
5854
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
8346
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3273
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2781
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2935
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7123
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
32619
38.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
68300
80.0 IPS |
|
|
Object Detection (SP)
|
100% |
2528
200.5 IPS |
|
|
Object Detection (HP)
|
100% |
5593
443.7 IPS |
|
|
Object Detection (Q)
|
88% |
9414
754.7 IPS |
|
|
Face Detection (SP)
|
100% |
7398
87.9 IPS |
|
|
Face Detection (HP)
|
100% |
17922
213.0 IPS |
|
|
Face Detection (Q)
|
100% |
28787
342.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6997
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18367
141.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34377
267.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20511
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49737
63.9 IPS |
|
|
Style Transfer (Q)
|
98% |
93372
120.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15159
559.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28198
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1503
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
1585
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2691
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3661
63.1 IPS |
