Dell Inc. Dell Pro 13 Premium PA13250
Geekbench ML Score
6312
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 03:17 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 13 Premium PA13250 |
| Motherboard | Dell Inc. 0NGT53 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| 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% |
3701
692.5 IPS |
|
|
Image Classification (F16)
|
100% |
3885
727.0 IPS |
|
|
Image Classification (I8)
|
100% |
2679
501.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
6357
106.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
6371
106.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
4698
78.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
20858
25.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
19450
23.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
16436
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
4087
305.1 IPS |
|
|
Object Detection (F16)
|
100% |
2999
223.9 IPS |
|
|
Object Detection (I8)
|
61% |
2705
202.0 IPS |
|
|
Face Detection (F32)
|
100% |
8345
99.2 IPS |
|
|
Face Detection (F16)
|
100% |
8136
96.7 IPS |
|
|
Face Detection (I8)
|
89% |
5771
68.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
19934
154.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
18772
145.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
15832
122.8 IPS |
|
|
Style Transfer (F32)
|
100% |
50984
67.1 IPS |
|
|
Style Transfer (F16)
|
100% |
45834
60.3 IPS |
|
|
Style Transfer (I8)
|
98% |
41916
55.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8104
289.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8767
313.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5826
208.1 IPS |
|
|
Text Classification (F32)
|
100% |
1165
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
778
1.12 KIPS |
|
|
Text Classification (I8)
|
98% |
687
987.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2735
50.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2976
54.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1314
24.2 IPS |
