Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
4840
Single Precision Score
5083
Half Precision Score
11983
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | February 07 2026 10:52 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 14 MC14250 |
| Motherboard | Dell Inc. 0Y5MVY |
| 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% |
3512
653.1 IPS |
|
|
Image Classification (HP)
|
100% |
3965
737.3 IPS |
|
|
Image Classification (Q)
|
100% |
9072
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3884
63.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8209
133.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7128
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
6277
7.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
23369
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2183
173.1 IPS |
|
|
Object Detection (HP)
|
100% |
3286
260.7 IPS |
|
|
Object Detection (Q)
|
88% |
9343
749.0 IPS |
|
|
Face Detection (SP)
|
100% |
8099
96.2 IPS |
|
|
Face Detection (HP)
|
100% |
8827
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
16282
193.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6840
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7511
57.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
20355
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18895
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16756
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
64886
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3896
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4028
148.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14437
534.6 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2827
3.77 KIPS |
|
|
Text Classification (Q)
|
92% |
4962
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2556
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4905
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2439
42.0 IPS |
