Dell Inc. Dell Pro 16 PC16250
Geekbench AI Score
2364
Single Precision Score
8080
Half Precision Score
12565
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 01:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro 16 PC16250 |
| Motherboard | Dell Inc. 0VJH5M |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1154
214.6 IPS |
|
|
Image Classification (HP)
|
100% |
6135
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8966
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3584
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3458
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
31150
36.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
67703
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
100% |
5093
404.0 IPS |
|
|
Object Detection (Q)
|
87% |
8697
698.0 IPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
11943
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
22159
263.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3922
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12663
97.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
24083
187.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8470
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37830
48.6 IPS |
|
|
Style Transfer (Q)
|
98% |
69325
89.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12011
443.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20149
746.2 IPS |
|
|
Text Classification (SP)
|
100% |
1432
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1853
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1870
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1983
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3692
63.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3722
64.1 IPS |
