Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
3939
Single Precision Score
1628
Half Precision Score
7718
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 05:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro Max 14 MC14250 |
| Motherboard | Dell Inc. 0NXD1H |
| Power Plan | Balanced |
| 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% |
3453
642.1 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.2 IPS |
|
|
Image Classification (Q)
|
99% |
7469
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10106
164.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5162
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5451
6.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
17953
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2172
172.3 IPS |
|
|
Object Detection (HP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (Q)
|
86% |
7607
611.4 IPS |
|
|
Face Detection (SP)
|
100% |
9576
113.8 IPS |
|
|
Face Detection (HP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
9595
114.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7898
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2200
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17179
137.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14236
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11850
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24922
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2985
110.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1903
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4203
155.6 IPS |
|
|
Text Classification (SP)
|
100% |
1434
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
657
877.6 IPS |
|
|
Text Classification (Q)
|
97% |
1376
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3066
61.6 IPS |
