Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
5954
Single Precision Score
9607
Half Precision Score
14571
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 11:43 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% |
4018
747.2 IPS |
|
|
Image Classification (HP)
|
100% |
6794
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9243
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4411
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3862
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8126
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
34267
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74168
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
3322
263.5 IPS |
|
|
Object Detection (HP)
|
100% |
6032
478.4 IPS |
|
|
Object Detection (Q)
|
87% |
9900
794.5 IPS |
|
|
Face Detection (SP)
|
100% |
10164
120.8 IPS |
|
|
Face Detection (HP)
|
100% |
15838
188.2 IPS |
|
|
Face Detection (Q)
|
100% |
27661
328.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9135
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18011
138.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
33237
258.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23134
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
51260
65.9 IPS |
|
|
Style Transfer (Q)
|
98% |
93907
121.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4491
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14032
518.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23458
868.7 IPS |
|
|
Text Classification (SP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1965
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4148
71.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4137
71.3 IPS |
