LENOVO 83JC
Geekbench ML Score
3000
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 12:55 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% |
2075
388.2 IPS |
|
|
Image Classification (F16)
|
100% |
2075
388.2 IPS |
|
|
Image Classification (I8)
|
97% |
3441
643.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
678
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
691
11.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
1986
33.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6084
7.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
6141
7.44 IPS |
|
|
Pose Estimation (I8)
|
100% |
11687
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1861
138.9 IPS |
|
|
Object Detection (F16)
|
100% |
1926
143.8 IPS |
|
|
Object Detection (I8)
|
60% |
1740
129.9 IPS |
|
|
Face Detection (F32)
|
100% |
2489
29.6 IPS |
|
|
Face Detection (F16)
|
100% |
2501
29.7 IPS |
|
|
Face Detection (I8)
|
87% |
3512
41.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6798
52.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7020
54.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
10002
77.6 IPS |
|
|
Style Transfer (F32)
|
100% |
13615
17.9 IPS |
|
|
Style Transfer (F16)
|
100% |
14531
19.1 IPS |
|
|
Style Transfer (I8)
|
85% |
15700
20.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2352
84.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2602
92.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2568
91.7 IPS |
|
|
Text Classification (F32)
|
100% |
1907
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1950
2.80 KIPS |
|
|
Text Classification (I8)
|
94% |
380
546.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1913
35.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1960
36.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2052
37.8 IPS |
