Dell Inc. Dell Pro Max 16 Premium MA16250
Geekbench AI Score
9071
Single Precision Score
12681
Half Precision Score
5950
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Tonyiphone4 |
| Upload Date | January 08 2026 12:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (32GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 Premium MA16250 |
| Motherboard | Dell Inc. |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5448
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
6167
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
3824
713.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6928
112.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11356
184.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4389
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22730
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
39070
45.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
19031
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
6434
510.3 IPS |
|
|
Object Detection (HP)
|
100% |
7631
605.3 IPS |
|
|
Object Detection (Q)
|
84% |
4541
366.5 IPS |
|
|
Face Detection (SP)
|
100% |
10278
122.1 IPS |
|
|
Face Detection (HP)
|
100% |
16565
196.8 IPS |
|
|
Face Detection (Q)
|
97% |
6599
78.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19899
153.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
31597
243.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
14585
116.8 IPS |
|
|
Style Transfer (SP)
|
100% |
61846
79.5 IPS |
|
|
Style Transfer (HP)
|
100% |
102384
131.6 IPS |
|
|
Style Transfer (Q)
|
98% |
44260
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10328
381.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16377
604.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6590
244.0 IPS |
|
|
Text Classification (SP)
|
100% |
1661
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1773
2.37 KIPS |
|
|
Text Classification (Q)
|
97% |
997
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1370
25.7 IPS |
