LENOVO 83L3
Geekbench ML Score
1609
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 30 2025 03:10 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83L3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z2 Go |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
817
152.8 IPS |
|
|
Image Classification (F16)
|
100% |
834
156.1 IPS |
|
|
Image Classification (I8)
|
97% |
1327
248.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
399
6.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
398
6.65 IPS |
|
|
Image Segmentation (I8)
|
97% |
1292
21.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2150
2.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
2280
2.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
4859
5.88 IPS |
|
|
Object Detection (F32)
|
100% |
778
58.1 IPS |
|
|
Object Detection (F16)
|
100% |
800
59.7 IPS |
|
|
Object Detection (I8)
|
60% |
868
64.8 IPS |
|
|
Face Detection (F32)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (F16)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (I8)
|
87% |
2290
27.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2506
19.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2808
21.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
4774
37.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5708
7.51 IPS |
|
|
Style Transfer (F16)
|
100% |
5526
7.27 IPS |
|
|
Style Transfer (I8)
|
85% |
8064
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1046
37.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1515
54.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1814
64.8 IPS |
|
|
Text Classification (F32)
|
100% |
1461
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1450
2.08 KIPS |
|
|
Text Classification (I8)
|
94% |
1096
1.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
1203
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1212
22.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1564
28.8 IPS |
