LENOVO 83ED
Geekbench ML Score
2716
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | April 19 2025 12:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83ED |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanserat |
| 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% |
640
119.8 IPS |
|
|
Image Classification (F16)
|
100% |
668
125.1 IPS |
|
|
Image Classification (I8)
|
99% |
3572
668.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
792
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
657
11.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2304
38.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5272
6.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
4807
5.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
24862
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
858
64.1 IPS |
|
|
Object Detection (F16)
|
100% |
894
66.8 IPS |
|
|
Object Detection (I8)
|
65% |
3322
248.0 IPS |
|
|
Face Detection (F32)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (F16)
|
100% |
1619
19.3 IPS |
|
|
Face Detection (I8)
|
89% |
5946
70.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2461
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1997
15.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
14128
109.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12497
16.4 IPS |
|
|
Style Transfer (F16)
|
100% |
9594
12.6 IPS |
|
|
Style Transfer (I8)
|
98% |
34274
45.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2336
83.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2454
87.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3845
137.3 IPS |
|
|
Text Classification (F32)
|
100% |
1416
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1457
2.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1131
1.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
2139
39.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1967
36.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3272
60.2 IPS |
