Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
6091
Single Precision Score
9734
Half Precision Score
14784
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 11:12 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% |
4013
746.3 IPS |
|
|
Image Classification (HP)
|
100% |
6993
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9656
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4691
76.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3881
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7962
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
34220
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
73833
86.5 IPS |
|
|
Object Detection (SP)
|
100% |
3386
268.6 IPS |
|
|
Object Detection (HP)
|
100% |
6122
485.6 IPS |
|
|
Object Detection (Q)
|
87% |
9872
792.3 IPS |
|
|
Face Detection (SP)
|
100% |
9941
118.1 IPS |
|
|
Face Detection (HP)
|
100% |
16493
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
28487
338.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9025
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18031
138.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
33152
258.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22729
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51380
66.1 IPS |
|
|
Style Transfer (Q)
|
98% |
93488
120.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4441
164.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14132
521.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23797
881.3 IPS |
|
|
Text Classification (SP)
|
100% |
3636
4.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
2063
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4209
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4185
72.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4213
72.6 IPS |
