LENOVO 21N10000US
Geekbench ML Score
2475
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 05:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21N10000US |
| Motherboard | LENOVO 21N10000US |
| 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% |
670
125.3 IPS |
|
|
Image Classification (F16)
|
100% |
657
123.0 IPS |
|
|
Image Classification (I8)
|
99% |
3732
698.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
756
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
751
12.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2298
38.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6018
7.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
5994
7.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
25185
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
921
68.8 IPS |
|
|
Object Detection (F16)
|
100% |
913
68.2 IPS |
|
|
Object Detection (I8)
|
65% |
3417
255.1 IPS |
|
|
Face Detection (F32)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (F16)
|
100% |
1822
21.7 IPS |
|
|
Face Detection (I8)
|
89% |
5860
69.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2540
19.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2543
19.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
10002
77.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10456
13.8 IPS |
|
|
Style Transfer (F16)
|
100% |
10595
13.9 IPS |
|
|
Style Transfer (I8)
|
98% |
26405
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2084
74.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1691
60.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2674
95.5 IPS |
|
|
Text Classification (F32)
|
100% |
651
936.0 IPS |
|
|
Text Classification (F16)
|
100% |
1094
1.57 KIPS |
|
|
Text Classification (I8)
|
98% |
818
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1455
26.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1452
26.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2746
50.5 IPS |
