Dell Inc. Inspiron 5400 AIO
Geekbench ML Score
1433
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 06:43 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 5400 AIO |
| Motherboard | Dell Inc. 0VY7G1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
982
183.8 IPS |
|
|
Image Classification (F16)
|
100% |
925
173.1 IPS |
|
|
Image Classification (I8)
|
99% |
1992
372.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
594
9.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
582
9.72 IPS |
|
|
Image Segmentation (I8)
|
98% |
1270
21.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1985
2.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
2030
2.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
8558
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
701
52.3 IPS |
|
|
Object Detection (F16)
|
100% |
732
54.6 IPS |
|
|
Object Detection (I8)
|
62% |
936
69.9 IPS |
|
|
Face Detection (F32)
|
100% |
825
9.81 IPS |
|
|
Face Detection (F16)
|
100% |
760
9.04 IPS |
|
|
Face Detection (I8)
|
89% |
1804
21.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2596
20.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2262
17.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
6757
52.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4679
6.15 IPS |
|
|
Style Transfer (F16)
|
100% |
4850
6.38 IPS |
|
|
Style Transfer (I8)
|
98% |
6827
8.98 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1002
35.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1140
40.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2103
75.1 IPS |
|
|
Text Classification (F32)
|
100% |
972
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
943
1.35 KIPS |
|
|
Text Classification (I8)
|
98% |
306
439.5 IPS |
|
|
Machine Translation (F32)
|
100% |
852
15.7 IPS |
|
|
Machine Translation (F16)
|
100% |
840
15.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1111
20.4 IPS |
