LENOVO 83ED
Geekbench ML Score
2700
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 27 2024 02:21 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
694
129.9 IPS |
|
|
Image Classification (F16)
|
100% |
653
122.2 IPS |
|
|
Image Classification (I8)
|
99% |
3512
657.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
721
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
740
12.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2283
38.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5406
6.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
5586
6.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
22525
27.3 IPS |
|
|
Object Detection (F32)
|
100% |
847
63.2 IPS |
|
|
Object Detection (F16)
|
100% |
850
63.5 IPS |
|
|
Object Detection (I8)
|
65% |
3370
251.6 IPS |
|
|
Face Detection (F32)
|
100% |
1721
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (I8)
|
89% |
5888
70.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2329
18.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2332
18.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
13273
102.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12247
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12096
15.9 IPS |
|
|
Style Transfer (I8)
|
98% |
27260
35.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2232
79.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2293
81.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3912
139.7 IPS |
|
|
Text Classification (F32)
|
100% |
1398
2.01 KIPS |
|
|
Text Classification (F16)
|
100% |
1468
2.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1120
1.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
1982
36.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1832
33.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3330
61.3 IPS |
