Dell Inc. Latitude 7440
Geekbench ML Score
1910
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2025 07:59 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 7440 |
| Motherboard | Dell Inc. 0XDRJY |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1345U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 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) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
979
183.1 IPS |
|
|
Image Classification (F16)
|
100% |
973
182.0 IPS |
|
|
Image Classification (I8)
|
100% |
775
144.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1418
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1485
24.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1059
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
8462
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
8492
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
4560
5.52 IPS |
|
|
Object Detection (F32)
|
100% |
822
61.4 IPS |
|
|
Object Detection (F16)
|
100% |
1094
81.7 IPS |
|
|
Object Detection (I8)
|
54% |
840
62.7 IPS |
|
|
Face Detection (F32)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (F16)
|
100% |
2107
25.1 IPS |
|
|
Face Detection (I8)
|
89% |
1407
16.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4591
35.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4561
35.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3195
24.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16947
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
17786
23.4 IPS |
|
|
Style Transfer (I8)
|
98% |
10756
14.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2557
91.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2870
102.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1168
41.7 IPS |
|
|
Text Classification (F32)
|
100% |
723
1.04 KIPS |
|
|
Text Classification (F16)
|
100% |
758
1.09 KIPS |
|
|
Text Classification (I8)
|
98% |
382
548.9 IPS |
|
|
Machine Translation (F32)
|
100% |
802
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
804
14.8 IPS |
|
|
Machine Translation (I8)
|
70% |
425
7.82 IPS |
