LENOVO 83HY
Geekbench ML Score
2531
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 01 2025 11:42 AM |
| Views | 4 |
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% |
1994
373.1 IPS |
|
|
Image Classification (F16)
|
100% |
1944
363.7 IPS |
|
|
Image Classification (I8)
|
99% |
3241
606.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
651
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
654
10.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1832
30.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3083
3.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
3088
3.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
15566
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1109
82.8 IPS |
|
|
Object Detection (F16)
|
100% |
1146
85.6 IPS |
|
|
Object Detection (I8)
|
62% |
1387
103.6 IPS |
|
|
Face Detection (F32)
|
100% |
1803
21.4 IPS |
|
|
Face Detection (F16)
|
100% |
1731
20.6 IPS |
|
|
Face Detection (I8)
|
89% |
3614
43.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3900
30.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3916
30.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
12906
100.1 IPS |
|
|
Style Transfer (F32)
|
100% |
7583
9.98 IPS |
|
|
Style Transfer (F16)
|
100% |
7573
9.96 IPS |
|
|
Style Transfer (I8)
|
98% |
16185
21.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1618
57.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1614
57.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3452
123.3 IPS |
|
|
Text Classification (F32)
|
100% |
1517
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1564
2.25 KIPS |
|
|
Text Classification (I8)
|
98% |
1334
1.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1593
29.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1780
32.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2964
54.5 IPS |
