Dell Inc. Latitude 5450
Geekbench ML Score
2418
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:39 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5450 |
| Motherboard | Dell Inc. 04MMMW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 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% |
1052
196.8 IPS |
|
|
Image Classification (F16)
|
100% |
1035
193.8 IPS |
|
|
Image Classification (I8)
|
99% |
2340
438.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
928
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
929
15.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2245
37.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3463
4.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
3250
3.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
15054
18.2 IPS |
|
|
Object Detection (F32)
|
100% |
1158
86.5 IPS |
|
|
Object Detection (F16)
|
100% |
1178
88.0 IPS |
|
|
Object Detection (I8)
|
62% |
1328
99.1 IPS |
|
|
Face Detection (F32)
|
100% |
2571
30.6 IPS |
|
|
Face Detection (F16)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (I8)
|
89% |
3555
42.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4211
32.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4120
31.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
9752
75.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9381
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
9499
12.5 IPS |
|
|
Style Transfer (I8)
|
98% |
15552
20.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2041
72.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1969
70.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3861
137.9 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1045
1.50 KIPS |
|
|
Text Classification (I8)
|
98% |
477
685.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1367
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1524
28.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2425
44.6 IPS |
