LENOVO 21NH
Geekbench ML Score
1561
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | November 04 2024 06:09 PM |
| Views | 3 |
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% |
1055
197.4 IPS |
|
|
Image Classification (F16)
|
100% |
1053
197.0 IPS |
|
|
Image Classification (I8)
|
100% |
803
150.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1223
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1248
20.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
983
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6481
7.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
6501
7.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
5602
6.78 IPS |
|
|
Object Detection (F32)
|
100% |
673
50.2 IPS |
|
|
Object Detection (F16)
|
100% |
675
50.4 IPS |
|
|
Object Detection (I8)
|
71% |
587
43.8 IPS |
|
|
Face Detection (F32)
|
100% |
2235
26.6 IPS |
|
|
Face Detection (F16)
|
100% |
2257
26.8 IPS |
|
|
Face Detection (I8)
|
93% |
1563
18.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4039
31.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4055
31.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
3205
24.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6322
8.32 IPS |
|
|
Style Transfer (F16)
|
100% |
6271
8.25 IPS |
|
|
Style Transfer (I8)
|
98% |
5695
7.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3004
107.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2885
103.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2096
74.9 IPS |
|
|
Text Classification (F32)
|
100% |
274
393.4 IPS |
|
|
Text Classification (F16)
|
100% |
250
359.4 IPS |
|
|
Text Classification (I8)
|
98% |
217
312.3 IPS |
|
|
Machine Translation (F32)
|
100% |
801
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
811
14.9 IPS |
|
|
Machine Translation (I8)
|
48% |
462
8.51 IPS |
