LENOVO 82WM
Geekbench ML Score
4375
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 04:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82WM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7745HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 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% |
2623
490.9 IPS |
|
|
Image Classification (F16)
|
100% |
2712
507.4 IPS |
|
|
Image Classification (I8)
|
99% |
5254
983.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2002
33.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2221
37.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2792
46.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7999
9.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
6029
7.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
27563
33.4 IPS |
|
|
Object Detection (F32)
|
100% |
2535
189.2 IPS |
|
|
Object Detection (F16)
|
100% |
1713
127.9 IPS |
|
|
Object Detection (I8)
|
62% |
2456
183.3 IPS |
|
|
Face Detection (F32)
|
100% |
3864
45.9 IPS |
|
|
Face Detection (F16)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (I8)
|
89% |
5424
64.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
9373
72.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9047
70.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
18745
145.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15054
19.8 IPS |
|
|
Style Transfer (F16)
|
100% |
16358
21.5 IPS |
|
|
Style Transfer (I8)
|
98% |
27938
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3608
128.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3769
134.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5041
180.0 IPS |
|
|
Text Classification (F32)
|
100% |
2269
3.26 KIPS |
|
|
Text Classification (F16)
|
100% |
2213
3.18 KIPS |
|
|
Text Classification (I8)
|
98% |
398
571.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2692
49.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2600
47.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3601
66.3 IPS |
