LENOVO 83HY
Geekbench ML Score
3724
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 26 2025 09:14 AM |
| Views | 3 |
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 | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1286
240.7 IPS |
|
|
Image Classification (F16)
|
100% |
1219
228.2 IPS |
|
|
Image Classification (I8)
|
100% |
1078
201.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1966
32.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1938
32.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1603
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22004
26.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
21883
26.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
15498
18.8 IPS |
|
|
Object Detection (F32)
|
100% |
1239
92.5 IPS |
|
|
Object Detection (F16)
|
100% |
1140
85.1 IPS |
|
|
Object Detection (I8)
|
62% |
1027
76.7 IPS |
|
|
Face Detection (F32)
|
100% |
2899
34.5 IPS |
|
|
Face Detection (F16)
|
100% |
2910
34.6 IPS |
|
|
Face Detection (I8)
|
89% |
2216
26.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8883
68.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8872
68.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
6709
52.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40874
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
40812
53.7 IPS |
|
|
Style Transfer (I8)
|
98% |
25831
34.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6075
217.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6647
237.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3981
142.2 IPS |
|
|
Text Classification (F32)
|
100% |
1991
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
1997
2.87 KIPS |
|
|
Text Classification (I8)
|
98% |
1465
2.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1815
33.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1801
33.1 IPS |
|
|
Machine Translation (I8)
|
70% |
927
17.1 IPS |
