LENOVO 82UD
Geekbench ML Score
1520
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | September 04 2024 08:48 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82UD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 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 | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
902
168.7 IPS |
|
|
Image Classification (F16)
|
100% |
893
167.2 IPS |
|
|
Image Classification (I8)
|
97% |
1009
188.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
374
6.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
377
6.30 IPS |
|
|
Image Segmentation (I8)
|
97% |
1202
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3207
3.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
3012
3.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
4952
6.00 IPS |
|
|
Object Detection (F32)
|
100% |
859
64.2 IPS |
|
|
Object Detection (F16)
|
100% |
860
64.2 IPS |
|
|
Object Detection (I8)
|
60% |
756
56.4 IPS |
|
|
Face Detection (F32)
|
100% |
1300
15.5 IPS |
|
|
Face Detection (F16)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (I8)
|
87% |
1826
21.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3451
26.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3486
27.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
4597
35.6 IPS |
|
|
Style Transfer (F32)
|
100% |
7737
10.2 IPS |
|
|
Style Transfer (F16)
|
100% |
7793
10.3 IPS |
|
|
Style Transfer (I8)
|
85% |
7409
9.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1530
54.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1482
52.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1582
56.5 IPS |
|
|
Text Classification (F32)
|
100% |
1036
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1063
1.53 KIPS |
|
|
Text Classification (I8)
|
94% |
300
431.4 IPS |
|
|
Machine Translation (F32)
|
100% |
950
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
899
16.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1055
19.4 IPS |
