LENOVO 21NH
Geekbench ML Score
1560
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | November 04 2024 06:04 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 | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-45 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1041
194.9 IPS |
|
|
Image Classification (F16)
|
100% |
1046
195.7 IPS |
|
|
Image Classification (I8)
|
100% |
802
150.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1222
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1207
20.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
976
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6427
7.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
6342
7.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
5628
6.82 IPS |
|
|
Object Detection (F32)
|
100% |
671
50.1 IPS |
|
|
Object Detection (F16)
|
100% |
670
50.1 IPS |
|
|
Object Detection (I8)
|
71% |
589
44.0 IPS |
|
|
Face Detection (F32)
|
100% |
2240
26.6 IPS |
|
|
Face Detection (F16)
|
100% |
2243
26.7 IPS |
|
|
Face Detection (I8)
|
93% |
1561
18.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4064
31.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4078
31.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
3216
24.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6301
8.29 IPS |
|
|
Style Transfer (F16)
|
100% |
6301
8.29 IPS |
|
|
Style Transfer (I8)
|
98% |
5699
7.50 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3001
107.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3032
108.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2086
74.5 IPS |
|
|
Text Classification (F32)
|
100% |
272
391.3 IPS |
|
|
Text Classification (F16)
|
100% |
273
393.0 IPS |
|
|
Text Classification (I8)
|
98% |
211
303.4 IPS |
|
|
Machine Translation (F32)
|
100% |
804
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
801
14.7 IPS |
|
|
Machine Translation (I8)
|
48% |
457
8.42 IPS |
