Dell Inc. Dell Pro 16 Plus PB16250
Geekbench AI Score
2695
Single Precision Score
8010
Half Precision Score
12419
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 06:38 AM |
| Views | 8 |
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. 0R3JVY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
932
173.3 IPS |
|
|
Image Classification (HP)
|
100% |
6114
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8493
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2596
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3508
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3984
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
30903
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
65634
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (HP)
|
100% |
4923
390.5 IPS |
|
|
Object Detection (Q)
|
87% |
8751
702.4 IPS |
|
|
Face Detection (SP)
|
100% |
4137
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
11344
134.8 IPS |
|
|
Face Detection (Q)
|
100% |
23239
276.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4752
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12933
99.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
23153
180.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9792
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37810
48.6 IPS |
|
|
Style Transfer (Q)
|
98% |
70778
91.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12239
451.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20261
750.3 IPS |
|
|
Text Classification (SP)
|
100% |
1949
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
1859
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3558
61.3 IPS |
