LENOVO 83ED
Geekbench ML Score
2188
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 08:34 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83ED |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Rovnovha |
| 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% |
547
102.3 IPS |
|
|
Image Classification (F16)
|
100% |
527
98.6 IPS |
|
|
Image Classification (I8)
|
99% |
3016
564.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
605
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
510
8.53 IPS |
|
|
Image Segmentation (I8)
|
98% |
1588
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5124
6.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
5200
6.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
19274
23.3 IPS |
|
|
Object Detection (F32)
|
100% |
699
52.2 IPS |
|
|
Object Detection (F16)
|
100% |
707
52.8 IPS |
|
|
Object Detection (I8)
|
65% |
2891
215.8 IPS |
|
|
Face Detection (F32)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (F16)
|
100% |
1519
18.1 IPS |
|
|
Face Detection (I8)
|
89% |
5520
65.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2003
15.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2013
15.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
12168
94.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9361
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
9521
12.5 IPS |
|
|
Style Transfer (I8)
|
98% |
22676
29.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1278
45.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1253
44.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3002
107.2 IPS |
|
|
Text Classification (F32)
|
100% |
1072
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1080
1.55 KIPS |
|
|
Text Classification (I8)
|
98% |
862
1.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1706
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1715
31.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2838
52.2 IPS |
