Dell Inc. Dell Pro Max 16 MC16250
Geekbench ML Score
12228
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 07:22 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 | NVIDIA RTX PRO 2000 Blackwell Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5133
960.5 IPS |
|
|
Image Classification (F16)
|
100% |
5654
1.06 KIPS |
|
|
Image Classification (I8)
|
100% |
5103
954.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
9111
152.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
9107
152.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
8570
143.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
63491
76.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
58835
71.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
57718
69.9 IPS |
|
|
Object Detection (F32)
|
100% |
5207
388.7 IPS |
|
|
Object Detection (F16)
|
100% |
5281
394.2 IPS |
|
|
Object Detection (I8)
|
60% |
4935
368.4 IPS |
|
|
Face Detection (F32)
|
100% |
16127
191.8 IPS |
|
|
Face Detection (F16)
|
100% |
16075
191.1 IPS |
|
|
Face Detection (I8)
|
89% |
13633
162.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
34746
269.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
34624
268.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
30282
234.8 IPS |
|
|
Style Transfer (F32)
|
100% |
106112
139.6 IPS |
|
|
Style Transfer (F16)
|
100% |
106308
139.8 IPS |
|
|
Style Transfer (I8)
|
98% |
92120
121.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20319
725.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21069
752.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15630
558.2 IPS |
|
|
Text Classification (F32)
|
100% |
2370
3.41 KIPS |
|
|
Text Classification (F16)
|
100% |
2109
3.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1645
2.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
3388
62.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3440
63.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1580
29.1 IPS |
