Dell Inc. Latitude 5440
Geekbench ML Score
1941
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2024 09:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 5440 |
| Motherboard | Dell Inc. 030MKK |
| Power Plan | Balanced |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1235
231.0 IPS |
|
|
Image Classification (F16)
|
100% |
1222
228.6 IPS |
|
|
Image Classification (I8)
|
97% |
1883
352.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
990
16.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
990
16.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
1370
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3766
4.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
3225
3.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
5339
6.47 IPS |
|
|
Object Detection (F32)
|
100% |
1279
95.5 IPS |
|
|
Object Detection (F16)
|
100% |
1121
83.7 IPS |
|
|
Object Detection (I8)
|
60% |
835
62.4 IPS |
|
|
Face Detection (F32)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (F16)
|
100% |
1424
16.9 IPS |
|
|
Face Detection (I8)
|
87% |
2182
25.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4007
31.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4033
31.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
5725
44.4 IPS |
|
|
Style Transfer (F32)
|
100% |
8739
11.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8699
11.4 IPS |
|
|
Style Transfer (I8)
|
85% |
7703
10.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1503
53.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1815
64.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2169
77.4 IPS |
|
|
Text Classification (F32)
|
100% |
1066
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1082
1.56 KIPS |
|
|
Text Classification (I8)
|
94% |
405
581.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1172
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1173
21.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1624
29.9 IPS |
