Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
4685
Single Precision Score
1848
Half Precision Score
7790
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jrybolt |
| Upload Date | June 17 2025 07:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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. 0K9TDW |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3578
665.3 IPS |
|
|
Image Classification (HP)
|
100% |
630
117.1 IPS |
|
|
Image Classification (Q)
|
99% |
7763
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3392
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7917
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
5693
6.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
27707
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
3460
274.4 IPS |
|
|
Object Detection (HP)
|
100% |
819
65.0 IPS |
|
|
Object Detection (Q)
|
86% |
8212
659.9 IPS |
|
|
Face Detection (SP)
|
100% |
9353
111.1 IPS |
|
|
Face Detection (HP)
|
100% |
1994
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
10265
122.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10231
78.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2653
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17329
138.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18837
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13296
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24267
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3485
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2615
96.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5078
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
1723
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1595
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3933
79.0 IPS |
