Dell Inc. Dell 16 Plus 2-in-1 DB06250
Geekbench AI Score
1412
Single Precision Score
26018
Half Precision Score
44398
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | KIP603 |
| Upload Date | January 04 2026 05:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
801
149.0 IPS |
|
|
Image Classification (HP)
|
100% |
10488
1.95 KIPS |
|
|
Image Classification (Q)
|
100% |
17233
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
19173
310.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33066
536.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
911
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
111943
130.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
236662
277.2 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
13842
1.10 KIPS |
|
|
Object Detection (Q)
|
88% |
24544
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
1355
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
35854
426.0 IPS |
|
|
Face Detection (Q)
|
100% |
85619
1.02 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4216
32.5 IPS |
|
|
Depth Estimation (HP)
|
92% |
76586
594.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
154367
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
7287
9.37 IPS |
|
|
Style Transfer (HP)
|
100% |
236810
304.4 IPS |
|
|
Style Transfer (Q)
|
98% |
383012
493.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38952
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76950
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2112
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (Q)
|
92% |
3120
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6730
115.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7399
127.5 IPS |
