Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
4766
Single Precision Score
9902
Half Precision Score
15001
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 11:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro Max 14 MC14250 |
| Motherboard | Dell Inc. 0K9TDW |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3031
563.6 IPS |
|
|
Image Classification (HP)
|
100% |
6879
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9449
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4025
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3927
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6580
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
34592
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
75032
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
2097
166.3 IPS |
|
|
Object Detection (HP)
|
100% |
6162
488.8 IPS |
|
|
Object Detection (Q)
|
87% |
9842
789.9 IPS |
|
|
Face Detection (SP)
|
100% |
8077
96.0 IPS |
|
|
Face Detection (HP)
|
100% |
16878
200.6 IPS |
|
|
Face Detection (Q)
|
100% |
28716
341.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7536
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19507
150.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
36238
282.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19550
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54609
70.2 IPS |
|
|
Style Transfer (Q)
|
98% |
98388
126.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3419
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14266
526.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23649
875.8 IPS |
|
|
Text Classification (SP)
|
100% |
2849
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1976
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2046
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4212
72.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4251
73.2 IPS |
