LENOVO 83ED
Geekbench ML Score
2531
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 26 2024 11:07 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% |
695
130.0 IPS |
|
|
Image Classification (F16)
|
100% |
664
124.2 IPS |
|
|
Image Classification (I8)
|
99% |
3729
697.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
785
13.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2298
38.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5212
6.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
5177
6.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
22781
27.6 IPS |
|
|
Object Detection (F32)
|
100% |
863
64.4 IPS |
|
|
Object Detection (F16)
|
100% |
872
65.1 IPS |
|
|
Object Detection (I8)
|
65% |
3351
250.2 IPS |
|
|
Face Detection (F32)
|
100% |
1722
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (I8)
|
89% |
5759
68.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2375
18.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2162
16.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
11288
87.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9379
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
8312
10.9 IPS |
|
|
Style Transfer (I8)
|
98% |
14051
18.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1374
49.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2126
75.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3911
139.7 IPS |
|
|
Text Classification (F32)
|
100% |
1409
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1395
2.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1140
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1998
36.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1836
33.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3313
61.0 IPS |
