LENOVO 83HY
Geekbench ML Score
3824
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 11:26 AM |
| Views | 6 |
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% |
1499
280.5 IPS |
|
|
Image Classification (F16)
|
100% |
1460
273.3 IPS |
|
|
Image Classification (I8)
|
100% |
1277
239.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1945
32.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1961
32.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1595
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
21908
26.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
21999
26.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
15354
18.6 IPS |
|
|
Object Detection (F32)
|
100% |
1137
84.9 IPS |
|
|
Object Detection (F16)
|
100% |
1233
92.0 IPS |
|
|
Object Detection (I8)
|
62% |
1032
77.0 IPS |
|
|
Face Detection (F32)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (F16)
|
100% |
2908
34.6 IPS |
|
|
Face Detection (I8)
|
89% |
2227
26.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8998
69.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8954
69.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
6612
51.3 IPS |
|
|
Style Transfer (F32)
|
100% |
38580
50.7 IPS |
|
|
Style Transfer (F16)
|
100% |
39689
52.2 IPS |
|
|
Style Transfer (I8)
|
98% |
26029
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7443
265.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6312
225.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4039
144.3 IPS |
|
|
Text Classification (F32)
|
100% |
1934
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
2027
2.91 KIPS |
|
|
Text Classification (I8)
|
98% |
1456
2.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
2006
36.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1985
36.5 IPS |
|
|
Machine Translation (I8)
|
70% |
957
17.6 IPS |
