Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
3976
Single Precision Score
1771
Half Precision Score
8117
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jgorell |
| Upload Date | July 17 2025 10:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2989
555.8 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.6 IPS |
|
|
Image Classification (Q)
|
99% |
7428
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9422
153.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6318
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4338
5.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
21352
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
2814
223.2 IPS |
|
|
Object Detection (HP)
|
100% |
883
70.0 IPS |
|
|
Object Detection (Q)
|
86% |
7410
595.6 IPS |
|
|
Face Detection (SP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
1927
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
10649
127.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7433
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2531
19.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15633
124.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15080
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10380
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23909
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2718
100.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2079
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5769
213.6 IPS |
|
|
Text Classification (SP)
|
100% |
1723
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1426
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3426
68.8 IPS |
