Dell Inc. Dell Pro 13 Plus PB13250
Geekbench ML Score
2781
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 01:53 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 13 Plus PB13250 |
| Motherboard | Dell Inc. 0W8RP8 |
| Power Plan | Ausbalanciert |
| 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 |
| 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% |
1578
295.3 IPS |
|
|
Image Classification (F16)
|
100% |
1658
310.2 IPS |
|
|
Image Classification (I8)
|
100% |
1287
240.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1859
31.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1885
31.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1318
22.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7685
9.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
8829
10.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
6368
7.71 IPS |
|
|
Object Detection (F32)
|
100% |
1541
115.0 IPS |
|
|
Object Detection (F16)
|
100% |
1673
124.9 IPS |
|
|
Object Detection (I8)
|
54% |
1209
90.3 IPS |
|
|
Face Detection (F32)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (F16)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (I8)
|
89% |
1763
21.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7636
59.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7504
58.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
5322
41.3 IPS |
|
|
Style Transfer (F32)
|
100% |
20995
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
21053
27.7 IPS |
|
|
Style Transfer (I8)
|
98% |
15307
20.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3582
127.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3763
134.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2430
86.8 IPS |
|
|
Text Classification (F32)
|
100% |
1039
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
973
1.40 KIPS |
|
|
Text Classification (I8)
|
98% |
605
869.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1648
30.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1595
29.3 IPS |
|
|
Machine Translation (I8)
|
70% |
752
13.8 IPS |
