LENOVO 83HY
Geekbench ML Score
3677
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 25 2025 04:23 AM |
| Views | 2 |
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% |
1250
234.0 IPS |
|
|
Image Classification (F16)
|
100% |
1210
226.5 IPS |
|
|
Image Classification (I8)
|
100% |
1048
196.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1941
32.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1954
32.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1608
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
21832
26.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
22076
26.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
15399
18.6 IPS |
|
|
Object Detection (F32)
|
100% |
1139
85.0 IPS |
|
|
Object Detection (F16)
|
100% |
1140
85.1 IPS |
|
|
Object Detection (I8)
|
62% |
1041
77.7 IPS |
|
|
Face Detection (F32)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (F16)
|
100% |
2909
34.6 IPS |
|
|
Face Detection (I8)
|
89% |
2216
26.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8750
67.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8899
69.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
6699
52.0 IPS |
|
|
Style Transfer (F32)
|
100% |
36968
48.6 IPS |
|
|
Style Transfer (F16)
|
100% |
40443
53.2 IPS |
|
|
Style Transfer (I8)
|
98% |
25719
33.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6203
221.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6088
217.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3901
139.3 IPS |
|
|
Text Classification (F32)
|
100% |
1978
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
1958
2.81 KIPS |
|
|
Text Classification (I8)
|
98% |
1438
2.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1839
33.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1815
33.4 IPS |
|
|
Machine Translation (I8)
|
70% |
929
17.1 IPS |
