LENOVO 83N0
Geekbench ML Score
3138
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 06:06 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83N0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z2 Extreme |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 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 | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1439
269.3 IPS |
|
|
Image Classification (F16)
|
100% |
1439
269.3 IPS |
|
|
Image Classification (I8)
|
99% |
3462
647.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
882
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
899
15.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2863
47.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4924
5.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
4729
5.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
18334
22.2 IPS |
|
|
Object Detection (F32)
|
100% |
1485
110.9 IPS |
|
|
Object Detection (F16)
|
100% |
1497
111.7 IPS |
|
|
Object Detection (I8)
|
62% |
1808
135.0 IPS |
|
|
Face Detection (F32)
|
100% |
2876
34.2 IPS |
|
|
Face Detection (F16)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (I8)
|
89% |
4943
58.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5664
43.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5891
45.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14176
109.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12227
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11629
15.3 IPS |
|
|
Style Transfer (I8)
|
98% |
24887
32.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2038
72.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2195
78.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4074
145.5 IPS |
|
|
Text Classification (F32)
|
100% |
1459
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1464
2.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1230
1.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1857
34.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1870
34.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2538
46.7 IPS |
