Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
6069
Single Precision Score
9665
Half Precision Score
14616
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 11:07 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% |
3917
728.4 IPS |
|
|
Image Classification (HP)
|
100% |
6883
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9366
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4654
75.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3855
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8013
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
34369
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
74071
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
3333
264.4 IPS |
|
|
Object Detection (HP)
|
100% |
6111
484.8 IPS |
|
|
Object Detection (Q)
|
87% |
9963
799.6 IPS |
|
|
Face Detection (SP)
|
100% |
10056
119.5 IPS |
|
|
Face Detection (HP)
|
100% |
16410
195.0 IPS |
|
|
Face Detection (Q)
|
100% |
27502
326.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9070
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17817
137.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
32934
256.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22963
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
50821
65.3 IPS |
|
|
Style Transfer (Q)
|
98% |
91926
118.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4437
163.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13992
516.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23408
866.9 IPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2058
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4060
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4164
71.7 IPS |
