Dell Inc. Dell Pro 16 Plus PB16250
Geekbench AI Score
3235
Single Precision Score
26157
Half Precision Score
44541
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 08:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 16 Plus PB16250 |
| Motherboard | Dell Inc. 09VN0X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 266V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1972
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
14948
2.78 KIPS |
|
|
Image Classification (Q)
|
100% |
20737
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17627
285.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32195
521.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3389
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
111668
130.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
234010
274.1 IPS |
|
|
Object Detection (SP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (HP)
|
100% |
16524
1.31 KIPS |
|
|
Object Detection (Q)
|
88% |
25811
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
5671
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
28861
342.9 IPS |
|
|
Face Detection (Q)
|
100% |
87071
1.03 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4805
37.0 IPS |
|
|
Depth Estimation (HP)
|
92% |
81890
635.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
148604
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
10274
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202355
260.1 IPS |
|
|
Style Transfer (Q)
|
98% |
329265
424.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36040
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
71793
2.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2169
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (Q)
|
92% |
3520
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6026
103.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7079
121.9 IPS |
