LENOVO 83HY
Geekbench ML Score
2035
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 11:33 AM |
| Views | 8 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1207
225.9 IPS |
|
|
Image Classification (F16)
|
100% |
1090
203.9 IPS |
|
|
Image Classification (I8)
|
99% |
2087
390.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
840
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1714
28.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2603
3.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
2749
3.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
10820
13.1 IPS |
|
|
Object Detection (F32)
|
100% |
1030
76.9 IPS |
|
|
Object Detection (F16)
|
100% |
1018
76.0 IPS |
|
|
Object Detection (I8)
|
62% |
980
73.1 IPS |
|
|
Face Detection (F32)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (F16)
|
100% |
1715
20.4 IPS |
|
|
Face Detection (I8)
|
89% |
2840
33.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2971
23.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2691
20.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
8234
63.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6979
9.18 IPS |
|
|
Style Transfer (F16)
|
100% |
6877
9.05 IPS |
|
|
Style Transfer (I8)
|
98% |
13892
18.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1496
53.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1400
50.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2029
72.5 IPS |
|
|
Text Classification (F32)
|
100% |
1064
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1100
1.58 KIPS |
|
|
Text Classification (I8)
|
98% |
943
1.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1478
27.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2137
39.3 IPS |
