Dell Pro 16 Plus PB16250 Dell Inc. Dell Pro 16 Plus PB16250
Geekbench AI Score
2265
Single Precision Score
2259
Half Precision Score
5127
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | December 16 2025 09:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235U |
| 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% |
1185
220.4 IPS |
|
|
Image Classification (HP)
|
100% |
1189
221.1 IPS |
|
|
Image Classification (Q)
|
100% |
3361
625.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3683
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3883
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3838
4.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
12137
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.7 IPS |
|
|
Object Detection (HP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (Q)
|
88% |
2775
222.4 IPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
7731
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3734
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3663
28.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
7501
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8964
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8962
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27527
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4459
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
1266
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
2373
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1820
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1763
30.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1785
30.7 IPS |
