Dell Inc. Dell 16 Plus 2-in-1 DB06250
Geekbench AI Score
10070
Single Precision Score
24103
Half Precision Score
28944
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | KIP603 |
| Upload Date | January 04 2026 05:32 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7286
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
12403
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
13257
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9878
160.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
27557
446.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32143
521.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23078
26.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
141628
165.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
269419
315.4 IPS |
|
|
Object Detection (SP)
|
100% |
6546
519.2 IPS |
|
|
Object Detection (HP)
|
100% |
16365
1.30 KIPS |
|
|
Object Detection (Q)
|
88% |
16183
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
13059
155.2 IPS |
|
|
Face Detection (HP)
|
100% |
29282
347.9 IPS |
|
|
Face Detection (Q)
|
100% |
42607
506.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24600
189.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
61463
473.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
66891
520.2 IPS |
|
|
Style Transfer (SP)
|
100% |
60374
77.6 IPS |
|
|
Style Transfer (HP)
|
100% |
216695
278.6 IPS |
|
|
Style Transfer (Q)
|
98% |
302773
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10070
371.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32818
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27587
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (Q)
|
92% |
1283
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2331
40.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2835
49.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7274
125.3 IPS |
