LENOVO 83L3
Geekbench ML Score
1533
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 30 2025 03:02 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% |
843
157.8 IPS |
|
|
Image Classification (F16)
|
100% |
865
161.8 IPS |
|
|
Image Classification (I8)
|
97% |
1355
253.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
400
6.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
394
6.57 IPS |
|
|
Image Segmentation (I8)
|
97% |
1396
23.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2110
2.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
2157
2.61 IPS |
|
|
Pose Estimation (I8)
|
100% |
4909
5.94 IPS |
|
|
Object Detection (F32)
|
100% |
848
63.3 IPS |
|
|
Object Detection (F16)
|
100% |
818
61.1 IPS |
|
|
Object Detection (I8)
|
60% |
876
65.4 IPS |
|
|
Face Detection (F32)
|
100% |
1499
17.8 IPS |
|
|
Face Detection (F16)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (I8)
|
87% |
2302
27.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2588
20.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2527
19.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
4755
36.9 IPS |
|
|
Style Transfer (F32)
|
100% |
5705
7.50 IPS |
|
|
Style Transfer (F16)
|
100% |
5452
7.17 IPS |
|
|
Style Transfer (I8)
|
85% |
8284
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1100
39.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1091
39.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1543
55.1 IPS |
|
|
Text Classification (F32)
|
100% |
1140
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1124
1.62 KIPS |
|
|
Text Classification (I8)
|
94% |
830
1.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
1035
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1040
19.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1429
26.3 IPS |
