Dell Pro 16 Plus PB16250 Dell Inc. Dell Pro 16 Plus PB16250
Geekbench AI Score
4497
Single Precision Score
7456
Half Precision Score
12475
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | December 16 2025 10:03 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3323
617.9 IPS |
|
|
Image Classification (HP)
|
100% |
5324
990.0 IPS |
|
|
Image Classification (Q)
|
100% |
7278
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6195
100.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9524
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11683
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
10785
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
36113
42.3 IPS |
|
|
Object Detection (SP)
|
100% |
2874
228.0 IPS |
|
|
Object Detection (HP)
|
100% |
4639
368.0 IPS |
|
|
Object Detection (Q)
|
88% |
8805
705.6 IPS |
|
|
Face Detection (SP)
|
100% |
4561
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
9910
117.8 IPS |
|
|
Face Detection (Q)
|
100% |
19021
226.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10050
77.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
18639
144.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24548
190.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26074
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36942
47.5 IPS |
|
|
Style Transfer (Q)
|
98% |
82600
106.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7364
271.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14223
526.7 IPS |
|
|
Text Classification (SP)
|
71% |
1491
2.16 KIPS |
|
|
Text Classification (HP)
|
71% |
2169
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
2534
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1591
27.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2954
51.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2980
51.5 IPS |
