Dell Inc. Dell 16 Plus 2-in-1 DB06250
Geekbench AI Score
753
Single Precision Score
555
Half Precision Score
1928
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | KIP603 |
| Upload Date | January 04 2026 05:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Dell 16 Plus 2-in-1 DB06250 |
| Motherboard | Dell Inc. 082KWP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
888
165.1 IPS |
|
|
Image Classification (Q)
|
100% |
1195
222.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
925
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
794
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
591
0.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
2643
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (Q)
|
88% |
1213
97.2 IPS |
|
|
Face Detection (SP)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (Q)
|
100% |
9540
113.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
987
7.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
686
5.28 IPS |
|
|
Depth Estimation (Q)
|
89% |
3106
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2352
3.02 IPS |
|
|
Style Transfer (HP)
|
100% |
1330
1.71 IPS |
|
|
Style Transfer (Q)
|
98% |
5014
6.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
348
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
198
7.31 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
995
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
323
431.5 IPS |
|
|
Text Classification (HP)
|
100% |
229
306.1 IPS |
|
|
Text Classification (Q)
|
92% |
903
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
100% |
1504
25.9 IPS |
