LENOVO 21N10007UK
Geekbench ML Score
3017
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 18 2024 04:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21N10007UK |
| Motherboard | LENOVO 21N10007UK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 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% |
723
135.2 IPS |
|
|
Image Classification (F16)
|
100% |
725
135.7 IPS |
|
|
Image Classification (I8)
|
99% |
4055
758.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
818
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
831
13.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2268
37.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6731
8.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
6744
8.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
24236
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
941
70.2 IPS |
|
|
Object Detection (F16)
|
100% |
940
70.2 IPS |
|
|
Object Detection (I8)
|
65% |
3452
257.7 IPS |
|
|
Face Detection (F32)
|
100% |
1945
23.1 IPS |
|
|
Face Detection (F16)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (I8)
|
89% |
6240
74.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2684
20.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2697
20.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
14711
114.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16746
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
16891
22.2 IPS |
|
|
Style Transfer (I8)
|
98% |
28672
37.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2582
92.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2497
89.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3806
135.9 IPS |
|
|
Text Classification (F32)
|
100% |
1455
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
1479
2.13 KIPS |
|
|
Text Classification (I8)
|
98% |
1155
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
2272
41.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2192
40.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3611
66.5 IPS |
