Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
9742
Single Precision Score
22968
Half Precision Score
29278
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jgorell |
| Upload Date | July 17 2025 10:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro 140T GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 14 MC14250 |
| Motherboard | Dell Inc. 0R3G9M |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6894
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
12496
2.32 KIPS |
|
|
Image Classification (Q)
|
100% |
16868
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8000
129.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20425
331.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24655
399.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23804
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
94085
109.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
183539
214.9 IPS |
|
|
Object Detection (SP)
|
100% |
5783
458.7 IPS |
|
|
Object Detection (HP)
|
100% |
13469
1.07 KIPS |
|
|
Object Detection (Q)
|
88% |
17017
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
11151
132.5 IPS |
|
|
Face Detection (HP)
|
100% |
26223
311.6 IPS |
|
|
Face Detection (Q)
|
100% |
38216
454.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19256
148.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
49666
382.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
64410
500.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59036
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
155585
200.0 IPS |
|
|
Style Transfer (Q)
|
98% |
260107
335.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9870
364.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30583
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37642
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
92% |
2760
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2912
50.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5188
89.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5357
92.3 IPS |
