Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
5718
Single Precision Score
9704
Half Precision Score
14763
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 11:15 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% |
2536
471.5 IPS |
|
|
Image Classification (HP)
|
100% |
6981
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9731
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4018
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7804
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
34215
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
73608
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
3319
263.2 IPS |
|
|
Object Detection (HP)
|
100% |
6174
489.7 IPS |
|
|
Object Detection (Q)
|
87% |
9919
796.1 IPS |
|
|
Face Detection (SP)
|
100% |
9822
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
16102
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
27540
327.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9055
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18039
139.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
33228
258.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23024
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51414
66.1 IPS |
|
|
Style Transfer (Q)
|
98% |
93224
120.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4359
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14121
521.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23708
878.0 IPS |
|
|
Text Classification (SP)
|
100% |
3737
4.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1948
2.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2055
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4245
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4237
73.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4250
73.2 IPS |
