LENOVO 83ED
Geekbench ML Score
2776
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 17 2024 12:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83ED |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
724
135.4 IPS |
|
|
Image Classification (F16)
|
100% |
716
133.9 IPS |
|
|
Image Classification (I8)
|
99% |
4016
751.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
816
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
816
13.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2312
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6761
8.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
6821
8.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
24054
29.1 IPS |
|
|
Object Detection (F32)
|
100% |
927
69.2 IPS |
|
|
Object Detection (F16)
|
100% |
906
67.6 IPS |
|
|
Object Detection (I8)
|
65% |
3458
258.1 IPS |
|
|
Face Detection (F32)
|
100% |
1953
23.2 IPS |
|
|
Face Detection (F16)
|
100% |
1927
22.9 IPS |
|
|
Face Detection (I8)
|
89% |
6155
73.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2553
19.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2582
20.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
15011
116.4 IPS |
|
|
Style Transfer (F32)
|
100% |
10956
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13674
18.0 IPS |
|
|
Style Transfer (I8)
|
98% |
29221
38.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1723
61.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1748
62.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3498
124.9 IPS |
|
|
Text Classification (F32)
|
100% |
1130
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
1121
1.61 KIPS |
|
|
Text Classification (I8)
|
98% |
1081
1.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
1996
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2090
38.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3226
59.4 IPS |
