Dell Inc. Dell Pro Max 16 Plus MB16250
Geekbench AI Score
31330
Single Precision Score
53746
Half Precision Score
24267
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | 5000hx |
| Upload Date | March 28 2026 12:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 5000 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. 0K8XPY |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12454
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
19549
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
10980
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23800
385.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
33371
541.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21663
352.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
199857
233.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
599978
700.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
168369
197.2 IPS |
|
|
Object Detection (SP)
|
100% |
16115
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
23687
1.88 KIPS |
|
|
Object Detection (Q)
|
86% |
14113
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
46409
551.4 IPS |
|
|
Face Detection (HP)
|
100% |
67998
808.0 IPS |
|
|
Face Detection (Q)
|
97% |
38773
462.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
77534
597.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
159399
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59893
478.3 IPS |
|
|
Style Transfer (SP)
|
100% |
279891
359.8 IPS |
|
|
Style Transfer (HP)
|
100% |
944316
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
251571
324.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45023
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74438
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35476
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4657
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2126
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
6031
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6115
105.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2844
53.3 IPS |
