LENOVO 83JC
Geekbench ML Score
2903
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 12:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB 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% |
2045
382.7 IPS |
|
|
Image Classification (F16)
|
100% |
1996
373.5 IPS |
|
|
Image Classification (I8)
|
97% |
3161
591.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
569
9.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
562
9.39 IPS |
|
|
Image Segmentation (I8)
|
97% |
1932
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6145
7.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
6036
7.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
11772
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1944
145.1 IPS |
|
|
Object Detection (F16)
|
100% |
1935
144.5 IPS |
|
|
Object Detection (I8)
|
60% |
1706
127.4 IPS |
|
|
Face Detection (F32)
|
100% |
2486
29.6 IPS |
|
|
Face Detection (F16)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (I8)
|
87% |
3473
41.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6889
53.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7135
55.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
10252
79.5 IPS |
|
|
Style Transfer (F32)
|
100% |
14025
18.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13989
18.4 IPS |
|
|
Style Transfer (I8)
|
85% |
15592
20.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1995
71.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1913
68.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2543
90.8 IPS |
|
|
Text Classification (F32)
|
100% |
1928
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
1918
2.76 KIPS |
|
|
Text Classification (I8)
|
94% |
379
544.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1928
35.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1923
35.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2088
38.4 IPS |
