LENOVO 82V7
Geekbench ML Score
29
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 27 2025 02:56 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82V7 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Celeron N4120 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 8 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 24.0 KB x 4 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9
1.72 IPS |
|
|
Image Classification (F16)
|
100% |
9
1.65 IPS |
|
|
Image Classification (I8)
|
96% |
27
5.05 IPS |
|
|
Image Segmentation (F32)
|
100% |
22
0.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
23
0.38 IPS |
|
|
Image Segmentation (I8)
|
97% |
36
0.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
60
0.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
44
0.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
87
0.11 IPS |
|
|
Object Detection (F32)
|
100% |
6
0.48 IPS |
|
|
Object Detection (F16)
|
100% |
9
0.69 IPS |
|
|
Object Detection (I8)
|
62% |
13
0.99 IPS |
|
|
Face Detection (F32)
|
100% |
26
0.31 IPS |
|
|
Face Detection (F16)
|
100% |
24
0.29 IPS |
|
|
Face Detection (I8)
|
87% |
37
0.44 IPS |
|
|
Depth Estimation (F32)
|
100% |
33
0.25 IPS |
|
|
Depth Estimation (F16)
|
100% |
43
0.33 IPS |
|
|
Depth Estimation (I8)
|
74% |
82
0.63 IPS |
|
|
Style Transfer (F32)
|
100% |
94
0.12 IPS |
|
|
Style Transfer (F16)
|
100% |
89
0.12 IPS |
|
|
Style Transfer (I8)
|
85% |
284
0.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22
0.79 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24
0.87 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
60
2.14 IPS |
|
|
Text Classification (F32)
|
100% |
8
12.0 IPS |
|
|
Text Classification (F16)
|
100% |
9
12.6 IPS |
|
|
Text Classification (I8)
|
94% |
33
47.8 IPS |
|
|
Machine Translation (F32)
|
100% |
31
0.57 IPS |
|
|
Machine Translation (F16)
|
100% |
30
0.55 IPS |
|
|
Machine Translation (I8)
|
67% |
27
0.50 IPS |
