LENOVO 83HY
Geekbench ML Score
3831
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 05 2025 04:06 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% |
1242
232.3 IPS |
|
|
Image Classification (F16)
|
100% |
1488
278.4 IPS |
|
|
Image Classification (I8)
|
100% |
1272
238.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1933
32.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1937
32.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1606
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
21640
26.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
21787
26.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
15169
18.4 IPS |
|
|
Object Detection (F32)
|
100% |
1188
88.7 IPS |
|
|
Object Detection (F16)
|
100% |
1119
83.5 IPS |
|
|
Object Detection (I8)
|
62% |
1040
77.6 IPS |
|
|
Face Detection (F32)
|
100% |
2907
34.6 IPS |
|
|
Face Detection (F16)
|
100% |
2889
34.3 IPS |
|
|
Face Detection (I8)
|
89% |
2207
26.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
9227
71.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9441
73.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
6702
52.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40528
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
40274
53.0 IPS |
|
|
Style Transfer (I8)
|
98% |
26157
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7330
261.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7515
268.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4140
147.8 IPS |
|
|
Text Classification (F32)
|
100% |
1858
2.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1966
2.82 KIPS |
|
|
Text Classification (I8)
|
98% |
1501
2.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2073
38.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1963
36.1 IPS |
|
|
Machine Translation (I8)
|
70% |
968
17.8 IPS |
