LENOVO 83L3
Geekbench ML Score
1518
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 30 2025 03:07 PM |
| Views | 4 |
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% |
807
151.1 IPS |
|
|
Image Classification (F16)
|
100% |
844
157.9 IPS |
|
|
Image Classification (I8)
|
97% |
1354
253.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
393
6.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
403
6.74 IPS |
|
|
Image Segmentation (I8)
|
97% |
1325
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2074
2.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
2046
2.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
4857
5.88 IPS |
|
|
Object Detection (F32)
|
100% |
821
61.3 IPS |
|
|
Object Detection (F16)
|
100% |
803
60.0 IPS |
|
|
Object Detection (I8)
|
60% |
905
67.5 IPS |
|
|
Face Detection (F32)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (F16)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (I8)
|
87% |
2293
27.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2438
18.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2584
20.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
4727
36.7 IPS |
|
|
Style Transfer (F32)
|
100% |
5619
7.39 IPS |
|
|
Style Transfer (F16)
|
100% |
5755
7.57 IPS |
|
|
Style Transfer (I8)
|
85% |
8063
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1173
41.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1128
40.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1607
57.4 IPS |
|
|
Text Classification (F32)
|
100% |
1132
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
964
1.39 KIPS |
|
|
Text Classification (I8)
|
94% |
821
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1040
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1034
19.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1402
25.8 IPS |
