LENOVO 83AS
Geekbench ML Score
2383
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 07:23 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% |
1680
314.4 IPS |
|
|
Image Classification (F16)
|
100% |
1370
256.3 IPS |
|
|
Image Classification (I8)
|
97% |
2774
519.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
622
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
643
10.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1792
29.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3324
4.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
3388
4.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
10044
12.2 IPS |
|
|
Object Detection (F32)
|
100% |
1390
103.8 IPS |
|
|
Object Detection (F16)
|
100% |
1622
121.1 IPS |
|
|
Object Detection (I8)
|
60% |
1221
91.2 IPS |
|
|
Face Detection (F32)
|
100% |
2056
24.4 IPS |
|
|
Face Detection (F16)
|
100% |
2167
25.8 IPS |
|
|
Face Detection (I8)
|
87% |
3270
38.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4216
32.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5403
41.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
8458
65.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9536
12.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11920
15.7 IPS |
|
|
Style Transfer (I8)
|
85% |
13920
18.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1701
60.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1670
59.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2611
93.2 IPS |
|
|
Text Classification (F32)
|
100% |
1897
2.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1303
1.87 KIPS |
|
|
Text Classification (I8)
|
94% |
332
476.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1735
31.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1671
30.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1848
34.0 IPS |
