Dell Inc. Dell Pro Max 14 MC14250 CPU Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
5408
Single Precision Score
5636
Half Precision Score
13107
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jrybolt |
| Upload Date | June 17 2025 08:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3706
689.2 IPS |
|
|
Image Classification (HP)
|
100% |
4064
755.7 IPS |
|
|
Image Classification (Q)
|
100% |
9518
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4280
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8940
144.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7304
8.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
7055
8.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
26494
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3093
245.3 IPS |
|
|
Object Detection (HP)
|
100% |
3725
295.5 IPS |
|
|
Object Detection (Q)
|
88% |
9922
795.3 IPS |
|
|
Face Detection (SP)
|
100% |
9069
107.8 IPS |
|
|
Face Detection (HP)
|
100% |
10610
126.1 IPS |
|
|
Face Detection (Q)
|
100% |
18332
217.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7731
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8974
69.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
22853
177.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20350
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19988
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
71305
91.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4437
163.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13802
511.1 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2707
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
5071
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5299
91.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3200
55.1 IPS |
