Dell Inc. Dell Pro Max 16 Plus MB16250
Geekbench AI Score
6594
Single Precision Score
2290
Half Precision Score
9925
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 05:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 Plus MB16250 |
| Motherboard | Dell Inc. 05PR76 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5008
931.3 IPS |
|
|
Image Classification (HP)
|
100% |
748
139.1 IPS |
|
|
Image Classification (Q)
|
99% |
9530
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4722
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13581
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7982
9.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
43884
51.5 IPS |
|
|
Object Detection (SP)
|
100% |
4872
386.4 IPS |
|
|
Object Detection (HP)
|
100% |
994
78.8 IPS |
|
|
Object Detection (Q)
|
86% |
11078
890.3 IPS |
|
|
Face Detection (SP)
|
100% |
13245
157.4 IPS |
|
|
Face Detection (HP)
|
100% |
2385
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
12191
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15127
116.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3250
25.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
22296
177.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27874
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18672
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33096
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4765
176.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3381
124.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5882
217.8 IPS |
|
|
Text Classification (SP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1659
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3039
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4831
97.1 IPS |
