Dell Inc. Dell Pro Max 16 Plus MB16250
Geekbench ML Score
3820
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2025 03:03 PM |
| Views | 8 |
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 | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2360
441.6 IPS |
|
|
Image Classification (F16)
|
100% |
2365
442.5 IPS |
|
|
Image Classification (I8)
|
100% |
1672
312.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2983
49.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
3058
51.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2183
36.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9765
11.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
9792
11.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
8539
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
2307
172.2 IPS |
|
|
Object Detection (F16)
|
100% |
2266
169.2 IPS |
|
|
Object Detection (I8)
|
54% |
1776
132.6 IPS |
|
|
Face Detection (F32)
|
100% |
5135
61.1 IPS |
|
|
Face Detection (F16)
|
100% |
4861
57.8 IPS |
|
|
Face Detection (I8)
|
89% |
3077
36.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9652
74.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9499
73.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
7117
55.2 IPS |
|
|
Style Transfer (F32)
|
100% |
26288
34.6 IPS |
|
|
Style Transfer (F16)
|
100% |
26230
34.5 IPS |
|
|
Style Transfer (I8)
|
98% |
20962
27.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5055
180.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4948
176.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3301
117.9 IPS |
|
|
Text Classification (F32)
|
100% |
1114
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1070
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
645
927.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2133
39.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2102
38.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1001
18.4 IPS |
