Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
6116
Single Precision Score
9543
Half Precision Score
14371
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 11:25 AM |
| Views | 2 |
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 16 MC16250 |
| Motherboard | Dell Inc. 0P3VC2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4011
745.9 IPS |
|
|
Image Classification (HP)
|
100% |
6843
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9310
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4574
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3882
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8061
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
34008
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73851
86.5 IPS |
|
|
Object Detection (SP)
|
100% |
3359
266.4 IPS |
|
|
Object Detection (HP)
|
100% |
6020
477.5 IPS |
|
|
Object Detection (Q)
|
87% |
9911
795.4 IPS |
|
|
Face Detection (SP)
|
100% |
9762
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
15680
186.3 IPS |
|
|
Face Detection (Q)
|
100% |
26667
316.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9106
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18123
139.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
32950
256.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22920
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
50128
64.4 IPS |
|
|
Style Transfer (Q)
|
98% |
92823
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4532
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13913
513.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23180
858.5 IPS |
|
|
Text Classification (SP)
|
100% |
3713
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
1961
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4300
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4017
69.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3833
66.0 IPS |
