LENOVO 83JC
Geekbench ML Score
2967
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 12:56 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% |
2015
377.0 IPS |
|
|
Image Classification (F16)
|
100% |
2026
379.2 IPS |
|
|
Image Classification (I8)
|
97% |
3206
599.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
541
9.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
561
9.37 IPS |
|
|
Image Segmentation (I8)
|
97% |
1912
31.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5916
7.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
6045
7.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
11871
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1928
144.0 IPS |
|
|
Object Detection (F16)
|
100% |
1909
142.5 IPS |
|
|
Object Detection (I8)
|
60% |
1693
126.4 IPS |
|
|
Face Detection (F32)
|
100% |
2477
29.5 IPS |
|
|
Face Detection (F16)
|
100% |
2459
29.2 IPS |
|
|
Face Detection (I8)
|
87% |
3482
41.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7010
54.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7022
54.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
10412
80.7 IPS |
|
|
Style Transfer (F32)
|
100% |
13966
18.4 IPS |
|
|
Style Transfer (F16)
|
100% |
14107
18.6 IPS |
|
|
Style Transfer (I8)
|
85% |
15636
20.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2571
91.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2806
100.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2743
98.0 IPS |
|
|
Text Classification (F32)
|
100% |
1943
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
1977
2.84 KIPS |
|
|
Text Classification (I8)
|
94% |
379
544.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1941
35.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1904
35.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2067
38.0 IPS |
