Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
4111
Single Precision Score
9669
Half Precision Score
14683
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jgorell |
| Upload Date | July 17 2025 10:41 PM |
| 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. 0R3G9M |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2302
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
6942
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9518
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3354
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3896
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5220
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
34293
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74144
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
100% |
6086
482.7 IPS |
|
|
Object Detection (Q)
|
87% |
9985
801.4 IPS |
|
|
Face Detection (SP)
|
100% |
6916
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
16120
191.5 IPS |
|
|
Face Detection (Q)
|
100% |
28025
333.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6391
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18985
146.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34190
266.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15518
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51610
66.3 IPS |
|
|
Style Transfer (Q)
|
98% |
91669
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2900
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13990
516.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23245
860.8 IPS |
|
|
Text Classification (SP)
|
100% |
2591
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1907
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1994
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4109
70.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4168
71.8 IPS |
