Dell Inc. Dell 16 Plus 2-in-1 DB06250
Geekbench AI Score
7591
Single Precision Score
13649
Half Precision Score
5094
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Dell 16 Plus 2-in-1 DB06250 |
| Motherboard | Dell Inc. 11GHR5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3614
672.1 IPS |
|
|
Image Classification (HP)
|
100% |
3534
657.2 IPS |
|
|
Image Classification (Q)
|
100% |
2525
469.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6570
106.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12526
203.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4314
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21046
24.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
103672
121.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16527
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
4387
348.0 IPS |
|
|
Object Detection (HP)
|
100% |
8118
643.9 IPS |
|
|
Object Detection (Q)
|
88% |
4204
337.2 IPS |
|
|
Face Detection (SP)
|
100% |
9256
110.0 IPS |
|
|
Face Detection (HP)
|
100% |
17457
207.4 IPS |
|
|
Face Detection (Q)
|
97% |
7050
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18412
141.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
37100
285.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
12750
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
52755
67.8 IPS |
|
|
Style Transfer (HP)
|
100% |
167183
214.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35977
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8496
313.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15217
561.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5144
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
1303
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
756
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2915
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2665
45.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1237
23.2 IPS |
