Dell Inc. Dell Pro Max 16 MC16250
Geekbench ML Score
3370
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 07:19 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1995
373.4 IPS |
|
|
Image Classification (F16)
|
100% |
1790
335.0 IPS |
|
|
Image Classification (I8)
|
99% |
3430
641.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1834
30.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1487
24.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3197
53.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6781
8.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
6458
7.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
24965
30.2 IPS |
|
|
Object Detection (F32)
|
100% |
1917
143.1 IPS |
|
|
Object Detection (F16)
|
100% |
1929
144.0 IPS |
|
|
Object Detection (I8)
|
62% |
922
68.8 IPS |
|
|
Face Detection (F32)
|
100% |
3790
45.1 IPS |
|
|
Face Detection (F16)
|
100% |
3893
46.3 IPS |
|
|
Face Detection (I8)
|
89% |
4146
49.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7001
54.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5728
44.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
10071
78.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10904
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12221
16.1 IPS |
|
|
Style Transfer (I8)
|
98% |
19888
26.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2898
103.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1740
62.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4888
174.5 IPS |
|
|
Text Classification (F32)
|
100% |
1052
1.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1246
1.79 KIPS |
|
|
Text Classification (I8)
|
98% |
840
1.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
2039
37.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1801
33.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2608
48.0 IPS |
