Dell Inc. Dell Pro 14 PC14250
Geekbench ML Score
2937
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 08:06 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 14 PC14250 |
| Motherboard | Dell Inc. 0WW3M6 |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1823
341.2 IPS |
|
|
Image Classification (F16)
|
100% |
1848
345.9 IPS |
|
|
Image Classification (I8)
|
100% |
1385
259.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2065
34.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2015
33.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1420
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
8030
9.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
8703
10.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
6728
8.15 IPS |
|
|
Object Detection (F32)
|
100% |
1683
125.7 IPS |
|
|
Object Detection (F16)
|
100% |
1758
131.2 IPS |
|
|
Object Detection (I8)
|
54% |
1348
100.6 IPS |
|
|
Face Detection (F32)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (F16)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (I8)
|
89% |
1802
21.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7579
58.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
7696
59.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
5468
42.4 IPS |
|
|
Style Transfer (F32)
|
100% |
22042
29.0 IPS |
|
|
Style Transfer (F16)
|
100% |
21807
28.7 IPS |
|
|
Style Transfer (I8)
|
98% |
16045
21.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3958
141.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4125
147.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2641
94.3 IPS |
|
|
Text Classification (F32)
|
100% |
1045
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
968
1.39 KIPS |
|
|
Text Classification (I8)
|
98% |
622
894.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1673
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1654
30.4 IPS |
|
|
Machine Translation (I8)
|
70% |
795
14.6 IPS |
