LENOVO 83HY
Geekbench ML Score
3147
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 05 2025 03:42 AM |
| Views | 11 |
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% |
1498
280.2 IPS |
|
|
Image Classification (F16)
|
100% |
1472
275.5 IPS |
|
|
Image Classification (I8)
|
100% |
1194
223.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1799
30.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1776
29.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1478
24.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
21804
26.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
21979
26.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
15250
18.5 IPS |
|
|
Object Detection (F32)
|
100% |
1205
89.9 IPS |
|
|
Object Detection (F16)
|
100% |
974
72.7 IPS |
|
|
Object Detection (I8)
|
62% |
920
68.6 IPS |
|
|
Face Detection (F32)
|
100% |
2829
33.6 IPS |
|
|
Face Detection (F16)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (I8)
|
89% |
2180
25.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
9304
72.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8855
68.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
6406
49.7 IPS |
|
|
Style Transfer (F32)
|
100% |
24572
32.3 IPS |
|
|
Style Transfer (F16)
|
100% |
24389
32.1 IPS |
|
|
Style Transfer (I8)
|
98% |
19515
25.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3820
136.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3585
128.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2948
105.3 IPS |
|
|
Text Classification (F32)
|
100% |
737
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
828
1.19 KIPS |
|
|
Text Classification (I8)
|
98% |
1197
1.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1797
33.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1670
30.7 IPS |
|
|
Machine Translation (I8)
|
70% |
917
16.9 IPS |
