Dell Inc. Latitude 5400
Geekbench ML Score
1046
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 06:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5400 |
| Motherboard | Dell Inc. 0PD9KD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 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% |
547
102.3 IPS |
|
|
Image Classification (F16)
|
100% |
556
104.0 IPS |
|
|
Image Classification (I8)
|
97% |
954
178.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
402
6.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
362
6.05 IPS |
|
|
Image Segmentation (I8)
|
97% |
915
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1632
1.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
1493
1.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
3337
4.04 IPS |
|
|
Object Detection (F32)
|
100% |
565
42.2 IPS |
|
|
Object Detection (F16)
|
100% |
538
40.1 IPS |
|
|
Object Detection (I8)
|
60% |
616
46.0 IPS |
|
|
Face Detection (F32)
|
100% |
917
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
905
10.8 IPS |
|
|
Face Detection (I8)
|
87% |
1466
17.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1746
13.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1854
14.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
3066
23.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3412
4.49 IPS |
|
|
Style Transfer (F16)
|
100% |
3491
4.59 IPS |
|
|
Style Transfer (I8)
|
85% |
4765
6.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
836
29.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
749
26.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1225
43.7 IPS |
|
|
Text Classification (F32)
|
100% |
693
995.8 IPS |
|
|
Text Classification (F16)
|
100% |
591
848.7 IPS |
|
|
Text Classification (I8)
|
94% |
606
871.5 IPS |
|
|
Machine Translation (F32)
|
100% |
796
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
719
13.2 IPS |
|
|
Machine Translation (I8)
|
67% |
894
16.4 IPS |
