LENOVO 21NH
Geekbench ML Score
2500
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | November 04 2024 06:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21NH |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
660
123.5 IPS |
|
|
Image Classification (F16)
|
100% |
660
123.5 IPS |
|
|
Image Classification (I8)
|
99% |
3694
691.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
569
9.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
597
9.96 IPS |
|
|
Image Segmentation (I8)
|
98% |
1731
28.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4538
5.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
4557
5.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
17606
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
759
56.7 IPS |
|
|
Object Detection (F16)
|
100% |
751
56.1 IPS |
|
|
Object Detection (I8)
|
65% |
2219
165.6 IPS |
|
|
Face Detection (F32)
|
100% |
1794
21.3 IPS |
|
|
Face Detection (F16)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (I8)
|
89% |
5867
69.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2376
18.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2325
18.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
13427
104.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10796
14.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10853
14.3 IPS |
|
|
Style Transfer (I8)
|
98% |
29250
38.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2102
75.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2071
74.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3813
136.2 IPS |
|
|
Text Classification (F32)
|
100% |
1427
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
1425
2.05 KIPS |
|
|
Text Classification (I8)
|
98% |
1159
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1718
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1806
33.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3391
62.4 IPS |
