Dell Inc. Dell 14 Plus DB14250
Geekbench ML Score
3321
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 02:35 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1634
305.7 IPS |
|
|
Image Classification (F16)
|
100% |
1693
316.8 IPS |
|
|
Image Classification (I8)
|
99% |
3213
601.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1457
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1463
24.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2663
44.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4836
5.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
4720
5.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
17512
21.2 IPS |
|
|
Object Detection (F32)
|
100% |
1689
126.1 IPS |
|
|
Object Detection (F16)
|
100% |
1655
123.5 IPS |
|
|
Object Detection (I8)
|
62% |
1695
126.5 IPS |
|
|
Face Detection (F32)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (F16)
|
100% |
3832
45.6 IPS |
|
|
Face Detection (I8)
|
89% |
4204
50.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5714
44.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5596
43.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
13034
101.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12046
15.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11754
15.5 IPS |
|
|
Style Transfer (I8)
|
98% |
20921
27.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2651
94.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2670
95.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4737
169.2 IPS |
|
|
Text Classification (F32)
|
100% |
1296
1.86 KIPS |
|
|
Text Classification (F16)
|
100% |
1282
1.84 KIPS |
|
|
Text Classification (I8)
|
98% |
1139
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1924
35.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1853
34.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2725
50.2 IPS |
