LENOVO 83HY
Geekbench ML Score
3764
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 11:23 AM |
| Views | 5 |
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% |
1277
238.9 IPS |
|
|
Image Classification (F16)
|
100% |
1320
247.0 IPS |
|
|
Image Classification (I8)
|
100% |
1076
201.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1940
32.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1950
32.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1593
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22171
26.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
20924
25.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
15393
18.6 IPS |
|
|
Object Detection (F32)
|
100% |
1164
86.9 IPS |
|
|
Object Detection (F16)
|
100% |
1198
89.4 IPS |
|
|
Object Detection (I8)
|
62% |
1088
81.2 IPS |
|
|
Face Detection (F32)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (F16)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (I8)
|
89% |
2151
25.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9368
72.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9250
71.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
6922
53.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40473
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
41111
54.1 IPS |
|
|
Style Transfer (I8)
|
98% |
25289
33.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6240
222.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6222
222.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4392
156.9 IPS |
|
|
Text Classification (F32)
|
100% |
1920
2.76 KIPS |
|
|
Text Classification (F16)
|
100% |
2021
2.91 KIPS |
|
|
Text Classification (I8)
|
98% |
1440
2.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
2000
36.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1931
35.5 IPS |
|
|
Machine Translation (I8)
|
70% |
938
17.3 IPS |
