Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
2346
Single Precision Score
1060
Half Precision Score
4124
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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. 0NXD1H |
| Power Plan | Ausbalanciert |
| 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% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (Q)
|
99% |
4671
871.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
2406
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3266
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3194
3.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
14277
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2319
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (Q)
|
86% |
4382
352.2 IPS |
|
|
Face Detection (SP)
|
100% |
4197
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
5296
63.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5000
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1361
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13181
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12408
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7314
9.40 IPS |
|
|
Style Transfer (Q)
|
98% |
10601
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1529
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1213
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3053
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
610
814.7 IPS |
|
|
Text Classification (Q)
|
97% |
508
681.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1593
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1767
35.5 IPS |
