LENOVO 83AS
Geekbench ML Score
2837
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 07:16 AM |
| Views | 2 |
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% |
1654
309.6 IPS |
|
|
Image Classification (F16)
|
100% |
1858
347.6 IPS |
|
|
Image Classification (I8)
|
97% |
3218
602.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
643
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
603
10.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1937
32.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5333
6.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
5941
7.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
10557
12.8 IPS |
|
|
Object Detection (F32)
|
100% |
1680
125.4 IPS |
|
|
Object Detection (F16)
|
100% |
1656
123.7 IPS |
|
|
Object Detection (I8)
|
60% |
1688
126.0 IPS |
|
|
Face Detection (F32)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (F16)
|
100% |
2345
27.9 IPS |
|
|
Face Detection (I8)
|
87% |
3505
41.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6716
52.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6587
51.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
9626
74.6 IPS |
|
|
Style Transfer (F32)
|
100% |
13660
18.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13539
17.8 IPS |
|
|
Style Transfer (I8)
|
85% |
15118
19.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2804
100.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2799
99.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2778
99.2 IPS |
|
|
Text Classification (F32)
|
100% |
1689
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1753
2.52 KIPS |
|
|
Text Classification (I8)
|
94% |
387
556.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1742
32.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1731
31.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1924
35.4 IPS |
