LENOVO 83HY
Geekbench ML Score
3699
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 07:17 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1967
368.1 IPS |
|
|
Image Classification (F16)
|
100% |
2016
377.2 IPS |
|
|
Image Classification (I8)
|
99% |
4970
929.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1053
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
993
16.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3244
54.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5183
6.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
5223
6.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
20931
25.3 IPS |
|
|
Object Detection (F32)
|
100% |
2037
152.1 IPS |
|
|
Object Detection (F16)
|
100% |
2014
150.3 IPS |
|
|
Object Detection (I8)
|
62% |
2443
182.4 IPS |
|
|
Face Detection (F32)
|
100% |
2613
31.1 IPS |
|
|
Face Detection (F16)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (I8)
|
89% |
5188
61.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6157
47.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6214
48.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
16136
125.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12559
16.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12644
16.6 IPS |
|
|
Style Transfer (I8)
|
98% |
23751
31.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2753
98.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2760
98.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4583
163.7 IPS |
|
|
Text Classification (F32)
|
100% |
1933
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1935
2.78 KIPS |
|
|
Text Classification (I8)
|
98% |
1499
2.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
2291
42.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2301
42.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3338
61.4 IPS |
