LENOVO 83HY
Geekbench ML Score
3561
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 03:38 AM |
| Views | 9 |
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% |
2009
375.9 IPS |
|
|
Image Classification (F16)
|
100% |
2002
374.7 IPS |
|
|
Image Classification (I8)
|
99% |
5237
980.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1538
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1512
25.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3256
54.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5174
6.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
4404
5.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
20981
25.4 IPS |
|
|
Object Detection (F32)
|
100% |
1420
106.0 IPS |
|
|
Object Detection (F16)
|
100% |
1956
146.0 IPS |
|
|
Object Detection (I8)
|
62% |
2424
180.9 IPS |
|
|
Face Detection (F32)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (F16)
|
100% |
2019
24.0 IPS |
|
|
Face Detection (I8)
|
89% |
4426
52.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6085
47.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6068
47.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
15294
118.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12230
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12193
16.0 IPS |
|
|
Style Transfer (I8)
|
98% |
18413
24.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2754
98.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2729
97.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4228
151.0 IPS |
|
|
Text Classification (F32)
|
100% |
2017
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1902
2.73 KIPS |
|
|
Text Classification (I8)
|
98% |
1503
2.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1987
36.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2031
37.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3157
58.1 IPS |
