Dell Pro 16 Plus PB16250 Dell Inc. Dell Pro 16 Plus PB16250
Geekbench AI Score
2350
Single Precision Score
8019
Half Precision Score
12456
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | December 16 2025 10:12 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro 16 Plus PB16250 |
| Motherboard | Dell Inc. 0W8RP8 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1151
214.0 IPS |
|
|
Image Classification (HP)
|
100% |
6077
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8597
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2615
42.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3584
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3885
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
31327
36.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
67318
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
100% |
4863
385.8 IPS |
|
|
Object Detection (Q)
|
87% |
8612
691.2 IPS |
|
|
Face Detection (SP)
|
100% |
3341
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
11951
142.0 IPS |
|
|
Face Detection (Q)
|
100% |
21705
257.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3857
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12835
98.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
24072
187.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9734
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38038
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
71900
92.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12179
449.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20099
744.3 IPS |
|
|
Text Classification (SP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1807
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1840
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3624
62.4 IPS |
