Dell Inc. Dell Pro 13 Plus PB13250
Geekbench ML Score
2653
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 09:25 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro 13 Plus PB13250 |
| Motherboard | Dell Inc. 0W8RP8 |
| 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 14 |
| L1 Data Cache | 32.0 KB x 14 |
| 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% |
1792
335.4 IPS |
|
|
Image Classification (F16)
|
100% |
1739
325.5 IPS |
|
|
Image Classification (I8)
|
100% |
1352
252.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2022
33.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2034
34.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1410
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1653
2.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
3319
4.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
5840
7.07 IPS |
|
|
Object Detection (F32)
|
100% |
1676
125.2 IPS |
|
|
Object Detection (F16)
|
100% |
1745
130.3 IPS |
|
|
Object Detection (I8)
|
54% |
1365
101.9 IPS |
|
|
Face Detection (F32)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (F16)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (I8)
|
89% |
1767
21.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7298
56.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7386
57.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
5268
40.9 IPS |
|
|
Style Transfer (F32)
|
100% |
21197
27.9 IPS |
|
|
Style Transfer (F16)
|
100% |
21355
28.1 IPS |
|
|
Style Transfer (I8)
|
98% |
15530
20.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4249
151.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3900
139.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2681
95.7 IPS |
|
|
Text Classification (F32)
|
100% |
1005
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
999
1.44 KIPS |
|
|
Text Classification (I8)
|
98% |
627
901.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1671
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
30.9 IPS |
|
|
Machine Translation (I8)
|
70% |
802
14.8 IPS |
