Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
5692
Single Precision Score
9743
Half Precision Score
14907
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 11:05 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% |
3061
569.2 IPS |
|
|
Image Classification (HP)
|
100% |
7032
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
10161
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3992
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3927
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7928
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
34333
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
73935
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
3362
266.7 IPS |
|
|
Object Detection (HP)
|
100% |
6122
485.6 IPS |
|
|
Object Detection (Q)
|
87% |
9887
793.5 IPS |
|
|
Face Detection (SP)
|
100% |
8113
96.4 IPS |
|
|
Face Detection (HP)
|
100% |
16733
198.8 IPS |
|
|
Face Detection (Q)
|
100% |
29081
345.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8972
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17784
137.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
33097
257.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22655
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
51336
66.0 IPS |
|
|
Style Transfer (Q)
|
98% |
93022
120.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4343
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14151
522.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23756
879.8 IPS |
|
|
Text Classification (SP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2023
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2082
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4133
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4144
71.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4197
72.3 IPS |
