LENOVO 83ED
Geekbench ML Score
2871
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 23 2024 12:31 PM |
| Views | 2 |
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% |
727
136.0 IPS |
|
|
Image Classification (F16)
|
100% |
726
135.9 IPS |
|
|
Image Classification (I8)
|
99% |
3711
694.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
747
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
762
12.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2017
33.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5529
6.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
5362
6.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
25030
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
915
68.3 IPS |
|
|
Object Detection (F16)
|
100% |
930
69.4 IPS |
|
|
Object Detection (I8)
|
65% |
3479
259.8 IPS |
|
|
Face Detection (F32)
|
100% |
1905
22.6 IPS |
|
|
Face Detection (F16)
|
100% |
1879
22.3 IPS |
|
|
Face Detection (I8)
|
89% |
5941
70.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2648
20.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2672
20.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14206
110.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13118
17.3 IPS |
|
|
Style Transfer (F16)
|
100% |
14437
19.0 IPS |
|
|
Style Transfer (I8)
|
98% |
28425
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2525
90.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2490
88.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3988
142.4 IPS |
|
|
Text Classification (F32)
|
100% |
1410
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1453
2.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1146
1.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
2152
39.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2158
39.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3566
65.6 IPS |
