LENOVO 83HY
Geekbench ML Score
3678
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 09:35 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% |
1987
371.8 IPS |
|
|
Image Classification (F16)
|
100% |
2017
377.4 IPS |
|
|
Image Classification (I8)
|
99% |
4293
803.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1539
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1540
25.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3192
53.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5206
6.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
5187
6.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
21753
26.3 IPS |
|
|
Object Detection (F32)
|
100% |
1958
146.2 IPS |
|
|
Object Detection (F16)
|
100% |
1979
147.7 IPS |
|
|
Object Detection (I8)
|
62% |
2417
180.5 IPS |
|
|
Face Detection (F32)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (F16)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (I8)
|
89% |
5389
64.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6203
48.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6086
47.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
15777
122.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12428
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12640
16.6 IPS |
|
|
Style Transfer (I8)
|
98% |
23904
31.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2369
84.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2661
95.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4531
161.8 IPS |
|
|
Text Classification (F32)
|
100% |
1801
2.59 KIPS |
|
|
Text Classification (F16)
|
100% |
1821
2.62 KIPS |
|
|
Text Classification (I8)
|
98% |
1420
2.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1935
35.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1838
33.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3263
60.1 IPS |
