LENOVO 21N10007UK
Geekbench ML Score
3022
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 18 2024 05:09 PM |
| Views | 3 |
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% |
726
135.8 IPS |
|
|
Image Classification (F16)
|
100% |
723
135.4 IPS |
|
|
Image Classification (I8)
|
99% |
4025
753.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
796
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2245
37.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6505
7.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
6757
8.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
25549
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
936
69.8 IPS |
|
|
Object Detection (F16)
|
100% |
945
70.5 IPS |
|
|
Object Detection (I8)
|
65% |
3494
260.8 IPS |
|
|
Face Detection (F32)
|
100% |
1977
23.5 IPS |
|
|
Face Detection (F16)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (I8)
|
89% |
6427
76.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2652
20.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2669
20.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14760
114.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16909
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
16607
21.8 IPS |
|
|
Style Transfer (I8)
|
98% |
30050
39.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2514
89.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2489
88.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3858
137.8 IPS |
|
|
Text Classification (F32)
|
100% |
1464
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1462
2.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1154
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
2264
41.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2205
40.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3629
66.8 IPS |
