Dell Inc. Latitude 7440
Geekbench ML Score
1907
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 02 2024 08:17 AM |
| Views | 1 |
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% |
937
175.3 IPS |
|
|
Image Classification (F16)
|
100% |
961
179.8 IPS |
|
|
Image Classification (I8)
|
100% |
751
140.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1322
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1375
23.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
967
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8503
10.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8471
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
4537
5.49 IPS |
|
|
Object Detection (F32)
|
100% |
993
74.1 IPS |
|
|
Object Detection (F16)
|
100% |
988
73.8 IPS |
|
|
Object Detection (I8)
|
54% |
802
59.9 IPS |
|
|
Face Detection (F32)
|
100% |
2037
24.2 IPS |
|
|
Face Detection (F16)
|
100% |
2073
24.6 IPS |
|
|
Face Detection (I8)
|
89% |
1365
16.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4465
34.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4476
34.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3217
24.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18609
24.5 IPS |
|
|
Style Transfer (F16)
|
100% |
18194
23.9 IPS |
|
|
Style Transfer (I8)
|
98% |
11877
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2726
97.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2762
98.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1226
43.8 IPS |
|
|
Text Classification (F32)
|
100% |
737
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
741
1.07 KIPS |
|
|
Text Classification (I8)
|
98% |
380
545.7 IPS |
|
|
Machine Translation (F32)
|
100% |
828
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
823
15.1 IPS |
|
|
Machine Translation (I8)
|
70% |
439
8.08 IPS |
