LENOVO 83HY
Geekbench ML Score
3703
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2025 09:29 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% |
1204
225.4 IPS |
|
|
Image Classification (F16)
|
100% |
1241
232.3 IPS |
|
|
Image Classification (I8)
|
100% |
1197
224.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1944
32.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1936
32.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1607
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22019
26.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
22064
26.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
15276
18.5 IPS |
|
|
Object Detection (F32)
|
100% |
1147
85.7 IPS |
|
|
Object Detection (F16)
|
100% |
1177
87.9 IPS |
|
|
Object Detection (I8)
|
62% |
1041
77.7 IPS |
|
|
Face Detection (F32)
|
100% |
2898
34.5 IPS |
|
|
Face Detection (F16)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (I8)
|
89% |
2217
26.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8906
69.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8853
68.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
6719
52.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39070
51.4 IPS |
|
|
Style Transfer (F16)
|
100% |
37367
49.2 IPS |
|
|
Style Transfer (I8)
|
98% |
24943
32.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6043
215.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6521
232.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4040
144.3 IPS |
|
|
Text Classification (F32)
|
100% |
1988
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
1985
2.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1423
2.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1840
33.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1834
33.7 IPS |
|
|
Machine Translation (I8)
|
70% |
933
17.2 IPS |
