Dell Inc. Inspiron 5405
Geekbench ML Score
1691
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 10:09 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Inspiron 5405 |
| Motherboard | Dell Inc. 0T8GY6 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4700U |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
999
187.0 IPS |
|
|
Image Classification (F16)
|
100% |
985
184.3 IPS |
|
|
Image Classification (I8)
|
97% |
1288
241.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
464
7.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
450
7.51 IPS |
|
|
Image Segmentation (I8)
|
97% |
1236
20.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3905
4.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
3970
4.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
5225
6.33 IPS |
|
|
Object Detection (F32)
|
100% |
973
72.6 IPS |
|
|
Object Detection (F16)
|
100% |
996
74.3 IPS |
|
|
Object Detection (I8)
|
60% |
823
61.5 IPS |
|
|
Face Detection (F32)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (F16)
|
100% |
1420
16.9 IPS |
|
|
Face Detection (I8)
|
87% |
2219
26.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4072
31.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4197
32.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
5188
40.2 IPS |
|
|
Style Transfer (F32)
|
100% |
8171
10.7 IPS |
|
|
Style Transfer (F16)
|
100% |
8725
11.5 IPS |
|
|
Style Transfer (I8)
|
85% |
8606
11.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1465
52.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1672
59.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1767
63.1 IPS |
|
|
Text Classification (F32)
|
100% |
942
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
893
1.28 KIPS |
|
|
Text Classification (I8)
|
94% |
299
429.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1020
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1037
19.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1251
23.0 IPS |
