LENOVO 83HY
Geekbench ML Score
3600
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 04:55 AM |
| Views | 12 |
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% |
1438
269.1 IPS |
|
|
Image Classification (F16)
|
100% |
1308
244.8 IPS |
|
|
Image Classification (I8)
|
100% |
1023
191.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1930
32.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1915
32.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1580
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
21599
26.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
21703
26.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14533
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1125
84.0 IPS |
|
|
Object Detection (F16)
|
100% |
1121
83.7 IPS |
|
|
Object Detection (I8)
|
62% |
1119
83.6 IPS |
|
|
Face Detection (F32)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (F16)
|
100% |
2947
35.0 IPS |
|
|
Face Detection (I8)
|
89% |
2183
26.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8630
66.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8664
67.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
6467
50.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39353
51.8 IPS |
|
|
Style Transfer (F16)
|
100% |
37447
49.3 IPS |
|
|
Style Transfer (I8)
|
98% |
24443
32.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5847
208.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6719
240.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3882
138.6 IPS |
|
|
Text Classification (F32)
|
100% |
1688
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1659
2.38 KIPS |
|
|
Text Classification (I8)
|
98% |
1167
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1769
32.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1796
33.0 IPS |
|
|
Machine Translation (I8)
|
70% |
904
16.6 IPS |
