Dell Inc. Inspiron 5570
Geekbench ML Score
1339
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Mariozin |
| Upload Date | February 23 2024 01:06 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Inspiron 5570 |
| Motherboard | Dell Inc. 0NDF00 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| 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 | 12.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
852
159.4 IPS |
|
|
Image Classification (F16)
|
100% |
683
127.8 IPS |
|
|
Image Classification (I8)
|
97% |
1207
225.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
565
9.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
572
9.56 IPS |
|
|
Image Segmentation (I8)
|
97% |
920
15.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2476
3.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
2126
2.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
4219
5.11 IPS |
|
|
Object Detection (F32)
|
100% |
780
58.3 IPS |
|
|
Object Detection (F16)
|
100% |
583
43.5 IPS |
|
|
Object Detection (I8)
|
60% |
755
56.4 IPS |
|
|
Face Detection (F32)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (F16)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (I8)
|
87% |
2007
23.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2213
17.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2593
20.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
4353
33.8 IPS |
|
|
Style Transfer (F32)
|
100% |
6122
8.05 IPS |
|
|
Style Transfer (F16)
|
100% |
4954
6.52 IPS |
|
|
Style Transfer (I8)
|
85% |
6875
9.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1289
46.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
827
29.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1614
57.6 IPS |
|
|
Text Classification (F32)
|
100% |
576
828.5 IPS |
|
|
Text Classification (F16)
|
100% |
583
838.0 IPS |
|
|
Text Classification (I8)
|
94% |
276
396.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1129
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1151
21.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1116
20.5 IPS |
