Dell Inc. Dell Pro Max 16 Plus MB16250
Geekbench ML Score
23932
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2025 04:13 PM |
| Views | 9 |
System Information
| 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 | Balanserat |
| 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 |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 3.00 MB x 3 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 5000 Blackwell Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11283
2.11 KIPS |
|
|
Image Classification (F16)
|
100% |
10564
1.98 KIPS |
|
|
Image Classification (I8)
|
100% |
9171
1.72 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17676
295.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
17386
290.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
15988
267.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
195648
236.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
195621
236.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
167463
202.8 IPS |
|
|
Object Detection (F32)
|
100% |
8319
621.0 IPS |
|
|
Object Detection (F16)
|
100% |
8174
610.3 IPS |
|
|
Object Detection (I8)
|
50% |
7779
580.7 IPS |
|
|
Face Detection (F32)
|
100% |
36456
433.5 IPS |
|
|
Face Detection (F16)
|
100% |
36063
428.8 IPS |
|
|
Face Detection (I8)
|
89% |
30809
366.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
73711
571.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
70928
550.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
57580
446.5 IPS |
|
|
Style Transfer (F32)
|
100% |
262285
345.0 IPS |
|
|
Style Transfer (F16)
|
100% |
270357
355.6 IPS |
|
|
Style Transfer (I8)
|
98% |
237020
311.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
38441
1.37 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
40193
1.44 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33420
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
2993
4.30 KIPS |
|
|
Text Classification (F16)
|
100% |
3062
4.40 KIPS |
|
|
Text Classification (I8)
|
98% |
1903
2.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
4968
91.4 IPS |
|
|
Machine Translation (F16)
|
100% |
5060
93.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2772
51.0 IPS |
