Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
6117
Single Precision Score
9740
Half Precision Score
14832
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 11:10 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% |
4010
745.8 IPS |
|
|
Image Classification (HP)
|
100% |
6896
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9612
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4780
77.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3875
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7782
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
34265
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74924
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
3318
263.2 IPS |
|
|
Object Detection (HP)
|
100% |
6162
488.8 IPS |
|
|
Object Detection (Q)
|
87% |
10048
806.4 IPS |
|
|
Face Detection (SP)
|
100% |
9933
118.0 IPS |
|
|
Face Detection (HP)
|
100% |
16388
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
28115
334.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9011
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18034
138.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
33171
258.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22745
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51207
65.8 IPS |
|
|
Style Transfer (Q)
|
98% |
93554
120.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4402
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14159
522.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23728
878.7 IPS |
|
|
Text Classification (SP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
2082
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4280
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4233
72.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4264
73.4 IPS |
