Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
4794
Single Precision Score
4820
Half Precision Score
12241
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jgorell |
| Upload Date | July 17 2025 10:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| 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% |
2942
547.2 IPS |
|
|
Image Classification (HP)
|
100% |
3255
605.3 IPS |
|
|
Image Classification (Q)
|
100% |
8897
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3852
62.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8758
142.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5757
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
5588
6.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
22630
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
3037
240.9 IPS |
|
|
Object Detection (Q)
|
88% |
8624
691.3 IPS |
|
|
Face Detection (SP)
|
100% |
8969
106.6 IPS |
|
|
Face Detection (HP)
|
100% |
8995
106.9 IPS |
|
|
Face Detection (Q)
|
100% |
17571
208.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7536
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7348
56.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
21863
170.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17419
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16335
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
63174
81.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3137
115.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12827
475.0 IPS |
|
|
Text Classification (SP)
|
100% |
3352
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
5118
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3196
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3120
53.8 IPS |
