LENOVO 83HY
Geekbench ML Score
3601
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 26 2025 07:31 AM |
| Views | 3 |
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% |
2002
374.6 IPS |
|
|
Image Classification (F16)
|
100% |
2057
384.8 IPS |
|
|
Image Classification (I8)
|
99% |
5308
993.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1496
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1340
22.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3197
53.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5193
6.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
5216
6.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
20722
25.1 IPS |
|
|
Object Detection (F32)
|
100% |
1951
145.6 IPS |
|
|
Object Detection (F16)
|
100% |
1929
144.0 IPS |
|
|
Object Detection (I8)
|
62% |
2411
180.0 IPS |
|
|
Face Detection (F32)
|
100% |
2214
26.3 IPS |
|
|
Face Detection (F16)
|
100% |
2190
26.0 IPS |
|
|
Face Detection (I8)
|
89% |
4210
50.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6086
47.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5968
46.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
15332
118.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12155
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12334
16.2 IPS |
|
|
Style Transfer (I8)
|
98% |
18594
24.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2683
95.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2757
98.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4463
159.4 IPS |
|
|
Text Classification (F32)
|
100% |
1931
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
1924
2.76 KIPS |
|
|
Text Classification (I8)
|
98% |
1507
2.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1939
35.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1911
35.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3209
59.0 IPS |
