Dell Inc. Dell Pro Max 16 Premium MA16250
Geekbench AI Score
4826
Single Precision Score
1897
Half Precision Score
8950
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 07:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 Premium MA16250 |
| Motherboard | Dell Inc. 0VN42K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4018
747.3 IPS |
|
|
Image Classification (HP)
|
100% |
731
136.0 IPS |
|
|
Image Classification (Q)
|
99% |
8721
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11811
192.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7743
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5269
6.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
26630
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
3466
275.0 IPS |
|
|
Object Detection (HP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (Q)
|
86% |
7859
631.6 IPS |
|
|
Face Detection (SP)
|
100% |
10086
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
1981
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
10712
127.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9526
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2537
19.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16145
128.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17616
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13007
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25937
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3098
114.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2456
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5950
220.3 IPS |
|
|
Text Classification (SP)
|
100% |
1914
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
912
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1576
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3639
73.1 IPS |
