Dell Inc. Dell Pro Max 16 MC16250
Geekbench ML Score
5617
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 07:20 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 MC16250 |
| Motherboard | Dell Inc. 0027T3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Pro 140T GPU (16GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3858
721.9 IPS |
|
|
Image Classification (F16)
|
100% |
4310
806.5 IPS |
|
|
Image Classification (I8)
|
100% |
2125
397.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5069
84.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4949
82.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3445
57.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
15388
18.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
15922
19.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13865
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
2375
177.3 IPS |
|
|
Object Detection (F16)
|
100% |
2269
169.4 IPS |
|
|
Object Detection (I8)
|
59% |
2748
205.2 IPS |
|
|
Face Detection (F32)
|
100% |
5780
68.7 IPS |
|
|
Face Detection (F16)
|
100% |
5711
67.9 IPS |
|
|
Face Detection (I8)
|
89% |
3747
44.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
17602
136.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17820
138.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
13126
101.8 IPS |
|
|
Style Transfer (F32)
|
100% |
55037
72.4 IPS |
|
|
Style Transfer (F16)
|
100% |
56850
74.8 IPS |
|
|
Style Transfer (I8)
|
98% |
39275
51.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8315
297.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9059
323.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5786
206.7 IPS |
|
|
Text Classification (F32)
|
100% |
1450
2.08 KIPS |
|
|
Text Classification (F16)
|
100% |
1430
2.06 KIPS |
|
|
Text Classification (I8)
|
98% |
682
979.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2245
41.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1947
35.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1180
21.7 IPS |
