LENOVO 83HY
Geekbench ML Score
3434
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 25 2025 04:12 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83HY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1909
357.3 IPS |
|
|
Image Classification (F16)
|
100% |
1977
370.0 IPS |
|
|
Image Classification (I8)
|
99% |
4285
801.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
856
14.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2602
43.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5201
6.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
5201
6.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
21192
25.7 IPS |
|
|
Object Detection (F32)
|
100% |
1884
140.6 IPS |
|
|
Object Detection (F16)
|
100% |
1876
140.1 IPS |
|
|
Object Detection (I8)
|
62% |
2374
177.2 IPS |
|
|
Face Detection (F32)
|
100% |
2197
26.1 IPS |
|
|
Face Detection (F16)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (I8)
|
89% |
4460
53.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6088
47.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6077
47.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
15045
116.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12243
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12318
16.2 IPS |
|
|
Style Transfer (I8)
|
98% |
18453
24.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2689
96.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2763
98.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4318
154.2 IPS |
|
|
Text Classification (F32)
|
100% |
1895
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1922
2.76 KIPS |
|
|
Text Classification (I8)
|
98% |
1505
2.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2021
37.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2055
37.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3305
60.8 IPS |
