LENOVO 83DM
Geekbench ML Score
2957
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 05:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8640HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1695
317.2 IPS |
|
|
Image Classification (F16)
|
100% |
1693
316.9 IPS |
|
|
Image Classification (I8)
|
99% |
4203
786.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1569
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1505
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1932
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5246
6.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
5219
6.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
18337
22.2 IPS |
|
|
Object Detection (F32)
|
100% |
1507
112.5 IPS |
|
|
Object Detection (F16)
|
100% |
1472
109.9 IPS |
|
|
Object Detection (I8)
|
62% |
1518
113.3 IPS |
|
|
Face Detection (F32)
|
100% |
2511
29.9 IPS |
|
|
Face Detection (F16)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (I8)
|
89% |
3990
47.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4813
37.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5799
45.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
11387
88.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11622
15.3 IPS |
|
|
Style Transfer (F16)
|
100% |
9989
13.1 IPS |
|
|
Style Transfer (I8)
|
98% |
19034
25.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2219
79.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2280
81.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3053
109.0 IPS |
|
|
Text Classification (F32)
|
100% |
1629
2.34 KIPS |
|
|
Text Classification (F16)
|
100% |
1452
2.09 KIPS |
|
|
Text Classification (I8)
|
98% |
348
499.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1725
31.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1661
30.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2226
41.0 IPS |
