Dell Inc. Dell Pro Max 16 Plus MB16250
Geekbench ML Score
5804
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2025 03:00 PM |
| Views | 10 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2820
527.6 IPS |
|
|
Image Classification (F16)
|
100% |
2798
523.5 IPS |
|
|
Image Classification (I8)
|
99% |
4698
879.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2237
37.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2242
37.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3612
60.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14917
18.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
14624
17.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
47268
57.2 IPS |
|
|
Object Detection (F32)
|
100% |
2751
205.4 IPS |
|
|
Object Detection (F16)
|
100% |
2840
212.0 IPS |
|
|
Object Detection (I8)
|
62% |
2576
192.3 IPS |
|
|
Face Detection (F32)
|
100% |
6001
71.4 IPS |
|
|
Face Detection (F16)
|
100% |
5963
70.9 IPS |
|
|
Face Detection (I8)
|
89% |
5649
67.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
13226
102.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13045
101.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
21367
165.7 IPS |
|
|
Style Transfer (F32)
|
100% |
31033
40.8 IPS |
|
|
Style Transfer (F16)
|
100% |
31710
41.7 IPS |
|
|
Style Transfer (I8)
|
98% |
32879
43.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5677
202.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5687
203.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6724
240.1 IPS |
|
|
Text Classification (F32)
|
100% |
1729
2.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1699
2.44 KIPS |
|
|
Text Classification (I8)
|
98% |
1323
1.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
2685
49.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2726
50.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3943
72.6 IPS |
