Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
5939
Single Precision Score
9279
Half Precision Score
14450
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 11:18 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% |
4094
761.3 IPS |
|
|
Image Classification (HP)
|
100% |
5475
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
9281
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3532
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3861
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8013
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
34385
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
74113
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
3362
266.7 IPS |
|
|
Object Detection (HP)
|
100% |
6050
479.9 IPS |
|
|
Object Detection (Q)
|
87% |
9898
794.4 IPS |
|
|
Face Detection (SP)
|
100% |
9880
117.4 IPS |
|
|
Face Detection (HP)
|
100% |
15199
180.6 IPS |
|
|
Face Detection (Q)
|
100% |
26326
312.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9082
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17913
138.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
32943
256.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22878
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
51056
65.6 IPS |
|
|
Style Transfer (Q)
|
98% |
92428
119.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4473
165.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13683
505.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22983
851.1 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1952
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1993
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4148
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3978
68.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4114
70.9 IPS |
