Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
6083
Single Precision Score
9557
Half Precision Score
14514
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 11:34 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% |
4084
759.6 IPS |
|
|
Image Classification (HP)
|
100% |
6779
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9191
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4569
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3889
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8049
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
34120
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74192
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
3321
263.4 IPS |
|
|
Object Detection (HP)
|
100% |
6082
482.4 IPS |
|
|
Object Detection (Q)
|
87% |
9997
802.3 IPS |
|
|
Face Detection (SP)
|
100% |
10065
119.6 IPS |
|
|
Face Detection (HP)
|
100% |
15585
185.2 IPS |
|
|
Face Detection (Q)
|
100% |
27002
320.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9022
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17968
138.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
32892
255.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23216
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51474
66.2 IPS |
|
|
Style Transfer (Q)
|
98% |
92821
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4409
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13978
516.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23355
864.9 IPS |
|
|
Text Classification (SP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2000
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3971
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3970
68.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4065
70.0 IPS |
