LENOVO 81J2
Geekbench ML Score
7
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux x86 (64-bit)
Result Information
| User | ppwozniak |
| Upload Date | January 23 2025 01:58 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | LENOVO 81J2 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Pentium Silver N5000 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 0 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 | 3.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4
0.81 IPS |
|
|
Image Classification (F16)
|
100% |
4
0.79 IPS |
|
|
Image Classification (I8)
|
97% |
4
0.67 IPS |
|
|
Image Segmentation (F32)
|
100% |
6
0.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
6
0.10 IPS |
|
|
Image Segmentation (I8)
|
98% |
5
0.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
7
0.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
7
0.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
6
0.01 IPS |
|
|
Object Detection (F32)
|
100% |
5
0.34 IPS |
|
|
Object Detection (F16)
|
100% |
5
0.35 IPS |
|
|
Object Detection (I8)
|
68% |
4
0.29 IPS |
|
|
Face Detection (F32)
|
100% |
14
0.17 IPS |
|
|
Face Detection (F16)
|
100% |
14
0.17 IPS |
|
|
Face Detection (I8)
|
87% |
12
0.14 IPS |
|
|
Depth Estimation (F32)
|
100% |
11
0.08 IPS |
|
|
Depth Estimation (F16)
|
100% |
11
0.08 IPS |
|
|
Depth Estimation (I8)
|
95% |
9
0.07 IPS |
|
|
Style Transfer (F32)
|
100% |
23
0.03 IPS |
|
|
Style Transfer (F16)
|
100% |
23
0.03 IPS |
|
|
Style Transfer (I8)
|
98% |
20
0.03 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5
0.18 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5
0.18 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
4
0.16 IPS |
|
|
Text Classification (F32)
|
100% |
5
7.38 IPS |
|
|
Text Classification (F16)
|
100% |
5
7.42 IPS |
|
|
Text Classification (I8)
|
92% |
4
5.99 IPS |
|
|
Machine Translation (F32)
|
100% |
11
0.21 IPS |
|
|
Machine Translation (F16)
|
100% |
11
0.21 IPS |
|
|
Machine Translation (I8)
|
62% |
7
0.13 IPS |
