LENOVO 21NH
Geekbench ML Score
2552
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | November 04 2024 05:57 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% |
671
125.5 IPS |
|
|
Image Classification (F16)
|
100% |
671
125.5 IPS |
|
|
Image Classification (I8)
|
99% |
3738
699.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
709
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
721
12.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1979
33.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4308
5.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
4545
5.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
17375
21.0 IPS |
|
|
Object Detection (F32)
|
100% |
837
62.5 IPS |
|
|
Object Detection (F16)
|
100% |
839
62.6 IPS |
|
|
Object Detection (I8)
|
65% |
3319
247.8 IPS |
|
|
Face Detection (F32)
|
100% |
1812
21.5 IPS |
|
|
Face Detection (F16)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (I8)
|
89% |
6222
74.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2375
18.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2348
18.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
13448
104.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10803
14.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10915
14.4 IPS |
|
|
Style Transfer (I8)
|
98% |
29083
38.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2055
73.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2063
73.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3693
131.9 IPS |
|
|
Text Classification (F32)
|
100% |
1466
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1403
2.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1164
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1429
26.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1270
23.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3433
63.2 IPS |
