Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
5959
Single Precision Score
9572
Half Precision Score
14414
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 11:21 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% |
4067
756.3 IPS |
|
|
Image Classification (HP)
|
100% |
6791
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9403
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4409
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3882
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8056
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
34463
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74114
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
3372
267.5 IPS |
|
|
Object Detection (HP)
|
100% |
6026
478.0 IPS |
|
|
Object Detection (Q)
|
87% |
9864
791.6 IPS |
|
|
Face Detection (SP)
|
100% |
9788
116.3 IPS |
|
|
Face Detection (HP)
|
100% |
15763
187.3 IPS |
|
|
Face Detection (Q)
|
100% |
27117
322.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9094
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17899
137.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
33283
259.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22277
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51189
65.8 IPS |
|
|
Style Transfer (Q)
|
98% |
88904
114.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4449
164.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13640
503.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23326
863.9 IPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1961
2.62 KIPS |
|
|
Text Classification (Q)
|
92% |
1916
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3822
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4121
71.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4048
69.7 IPS |
