LENOVO 83AS
Geekbench ML Score
2455
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 29 2024 07:45 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83AS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1395
261.1 IPS |
|
|
Image Classification (F16)
|
100% |
1450
271.4 IPS |
|
|
Image Classification (I8)
|
97% |
2364
442.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
559
9.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
550
9.18 IPS |
|
|
Image Segmentation (I8)
|
97% |
1553
25.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4554
5.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
4811
5.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
9232
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
1500
112.0 IPS |
|
|
Object Detection (F16)
|
100% |
1555
116.1 IPS |
|
|
Object Detection (I8)
|
60% |
1355
101.2 IPS |
|
|
Face Detection (F32)
|
100% |
2082
24.8 IPS |
|
|
Face Detection (F16)
|
100% |
2076
24.7 IPS |
|
|
Face Detection (I8)
|
87% |
3168
37.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5085
39.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5830
45.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
7883
61.1 IPS |
|
|
Style Transfer (F32)
|
100% |
11970
15.7 IPS |
|
|
Style Transfer (F16)
|
100% |
10999
14.5 IPS |
|
|
Style Transfer (I8)
|
85% |
14288
18.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2418
86.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2488
88.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2194
78.3 IPS |
|
|
Text Classification (F32)
|
100% |
1659
2.38 KIPS |
|
|
Text Classification (F16)
|
100% |
1743
2.51 KIPS |
|
|
Text Classification (I8)
|
94% |
367
527.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1509
27.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1525
28.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1781
32.8 IPS |
