Dell Inc. Dell Pro 16 Plus PB16250
Geekbench AI Score
1810
Single Precision Score
1843
Half Precision Score
4221
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 07:33 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265U |
| 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% |
1196
222.4 IPS |
|
|
Image Classification (HP)
|
100% |
1305
242.6 IPS |
|
|
Image Classification (Q)
|
100% |
3314
616.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4267
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2092
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2285
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
5304
6.21 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.4 IPS |
|
|
Object Detection (HP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (Q)
|
88% |
1148
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2023
24.0 IPS |
|
|
Face Detection (Q)
|
100% |
4288
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2925
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3140
24.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
8558
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6998
9.00 IPS |
|
|
Style Transfer (HP)
|
100% |
6555
8.43 IPS |
|
|
Style Transfer (Q)
|
98% |
23261
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1491
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5456
202.1 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1519
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
2933
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1593
27.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1529
26.3 IPS |
