Dell Inc. Dell Pro Max 16 Plus MB16250
Geekbench AI Score
21244
Single Precision Score
41058
Half Precision Score
16506
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | February 06 2026 03:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 3000 Blackwell Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 Plus MB16250 |
| Motherboard | Dell Inc. 05PR76 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8823
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
16012
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
7727
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17984
291.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
27889
452.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15773
256.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
84617
98.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
334259
390.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
87815
102.9 IPS |
|
|
Object Detection (SP)
|
100% |
10873
862.5 IPS |
|
|
Object Detection (HP)
|
100% |
19747
1.57 KIPS |
|
|
Object Detection (Q)
|
83% |
10281
830.6 IPS |
|
|
Face Detection (SP)
|
100% |
26826
318.8 IPS |
|
|
Face Detection (HP)
|
100% |
47985
570.2 IPS |
|
|
Face Detection (Q)
|
97% |
23677
282.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
46591
359.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100883
777.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
37312
297.8 IPS |
|
|
Style Transfer (SP)
|
100% |
174571
224.4 IPS |
|
|
Style Transfer (HP)
|
100% |
645843
830.2 IPS |
|
|
Style Transfer (Q)
|
98% |
137894
177.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29366
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61804
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23573
872.9 IPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2246
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5728
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5962
102.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2116
39.7 IPS |
