Dell Inc. Dell 14 Plus DB14250
Geekbench ML Score
5943
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 02:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Dell 14 Plus DB14250 |
| Motherboard | Dell Inc. 0K389Y |
| 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 |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2760
516.4 IPS |
|
|
Image Classification (F16)
|
100% |
2659
497.5 IPS |
|
|
Image Classification (I8)
|
100% |
2233
417.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
6170
103.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5249
87.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
4661
77.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
20024
24.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
19459
23.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14138
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
2853
213.0 IPS |
|
|
Object Detection (F16)
|
100% |
2833
211.5 IPS |
|
|
Object Detection (I8)
|
61% |
2488
185.8 IPS |
|
|
Face Detection (F32)
|
100% |
7996
95.1 IPS |
|
|
Face Detection (F16)
|
100% |
8076
96.0 IPS |
|
|
Face Detection (I8)
|
89% |
6154
73.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
18190
141.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
19656
152.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
15667
121.5 IPS |
|
|
Style Transfer (F32)
|
100% |
54068
71.1 IPS |
|
|
Style Transfer (F16)
|
100% |
54013
71.0 IPS |
|
|
Style Transfer (I8)
|
98% |
45054
59.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9163
327.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8804
314.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5541
197.9 IPS |
|
|
Text Classification (F32)
|
100% |
987
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
621
891.9 IPS |
|
|
Text Classification (I8)
|
98% |
690
991.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2622
48.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3082
56.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1355
24.9 IPS |
