LENOVO 83HY
Geekbench ML Score
3592
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 11:15 AM |
| Views | 9 |
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% |
2043
382.4 IPS |
|
|
Image Classification (F16)
|
100% |
2035
380.8 IPS |
|
|
Image Classification (I8)
|
99% |
5251
982.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1571
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1510
25.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3142
52.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5181
6.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
5170
6.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
21709
26.3 IPS |
|
|
Object Detection (F32)
|
100% |
1951
145.7 IPS |
|
|
Object Detection (F16)
|
100% |
1935
144.5 IPS |
|
|
Object Detection (I8)
|
62% |
2031
151.6 IPS |
|
|
Face Detection (F32)
|
100% |
2175
25.9 IPS |
|
|
Face Detection (F16)
|
100% |
2173
25.8 IPS |
|
|
Face Detection (I8)
|
89% |
4456
53.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6029
46.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5945
46.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
15518
120.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12079
15.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12225
16.1 IPS |
|
|
Style Transfer (I8)
|
98% |
18758
24.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2981
106.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2305
82.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4616
164.9 IPS |
|
|
Text Classification (F32)
|
100% |
2013
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1928
2.77 KIPS |
|
|
Text Classification (I8)
|
98% |
1513
2.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1882
34.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1849
34.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3006
55.3 IPS |
