LENOVO 83GH
Geekbench ML Score
2584
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | October 30 2024 11:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83GH |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 4 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% |
660
123.6 IPS |
|
|
Image Classification (F16)
|
100% |
660
123.5 IPS |
|
|
Image Classification (I8)
|
99% |
3845
719.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
756
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
751
12.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2048
34.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4399
5.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
4491
5.44 IPS |
|
|
Pose Estimation (I8)
|
100% |
17427
21.1 IPS |
|
|
Object Detection (F32)
|
100% |
810
60.5 IPS |
|
|
Object Detection (F16)
|
100% |
820
61.2 IPS |
|
|
Object Detection (I8)
|
65% |
3312
247.3 IPS |
|
|
Face Detection (F32)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1807
21.5 IPS |
|
|
Face Detection (I8)
|
89% |
6040
71.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2379
18.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2345
18.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
13114
101.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10921
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
10563
13.9 IPS |
|
|
Style Transfer (I8)
|
98% |
28503
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2065
73.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2084
74.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3782
135.1 IPS |
|
|
Text Classification (F32)
|
100% |
1478
2.12 KIPS |
|
|
Text Classification (F16)
|
100% |
1477
2.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1145
1.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1582
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1573
28.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3394
62.5 IPS |
