Dell Inc. Dell Pro 16 PC16250
Geekbench AI Score
2240
Single Precision Score
8138
Half Precision Score
12760
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 01:54 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% |
1605
298.5 IPS |
|
|
Image Classification (HP)
|
100% |
6349
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
9133
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2586
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3591
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3392
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
31386
36.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
67967
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (HP)
|
100% |
5030
399.0 IPS |
|
|
Object Detection (Q)
|
87% |
8817
707.6 IPS |
|
|
Face Detection (SP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
11985
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
22764
270.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3943
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12688
97.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
24433
190.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8841
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38096
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
72061
92.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12289
453.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20652
764.8 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1860
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3783
65.2 IPS |
