Dell Inc. Dell Pro Max 16 Plus MB16250
Geekbench AI Score
5786
Single Precision Score
8863
Half Precision Score
13626
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 Plus MB16250 |
| Motherboard | Dell Inc. 075R9G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3904
726.0 IPS |
|
|
Image Classification (HP)
|
100% |
5727
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7554
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3999
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8583
139.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12000
194.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12098
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11324
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
34924
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
3574
283.5 IPS |
|
|
Object Detection (HP)
|
100% |
5608
444.8 IPS |
|
|
Object Detection (Q)
|
88% |
8305
665.6 IPS |
|
|
Face Detection (SP)
|
100% |
8393
99.7 IPS |
|
|
Face Detection (HP)
|
100% |
16492
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
24629
292.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12799
98.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22556
174.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
30308
240.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30144
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41692
53.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85937
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5265
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9479
350.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15229
564.0 IPS |
|
|
Text Classification (SP)
|
71% |
1751
2.53 KIPS |
|
|
Text Classification (HP)
|
71% |
2355
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2424
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2087
35.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2770
47.9 IPS |
|
|
Machine Translation (Q)
|
89% |
3545
61.6 IPS |
