Xiaomi 2201116SG
Geekbench ML Score
348
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 06 2024 07:26 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2201116SG |
| Model ID | Xiaomi 2201116SG |
| Motherboard | veux |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
118
22.1 IPS |
|
|
Image Classification (F16)
|
100% |
126
23.5 IPS |
|
|
Image Classification (I8)
|
97% |
374
69.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
250
4.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
238
3.98 IPS |
|
|
Image Segmentation (I8)
|
98% |
419
6.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
296
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
267
0.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
1124
1.36 IPS |
|
|
Object Detection (F32)
|
100% |
165
12.4 IPS |
|
|
Object Detection (F16)
|
100% |
177
13.2 IPS |
|
|
Object Detection (I8)
|
61% |
458
34.2 IPS |
|
|
Face Detection (F32)
|
100% |
393
4.67 IPS |
|
|
Face Detection (F16)
|
100% |
385
4.58 IPS |
|
|
Face Detection (I8)
|
86% |
894
10.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
369
2.86 IPS |
|
|
Depth Estimation (F16)
|
100% |
352
2.73 IPS |
|
|
Depth Estimation (I8)
|
95% |
864
6.70 IPS |
|
|
Style Transfer (F32)
|
100% |
600
0.79 IPS |
|
|
Style Transfer (F16)
|
100% |
610
0.80 IPS |
|
|
Style Transfer (I8)
|
98% |
1750
2.30 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
226
8.09 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
224
8.01 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
741
26.5 IPS |
|
|
Text Classification (F32)
|
100% |
201
289.2 IPS |
|
|
Text Classification (F16)
|
100% |
201
289.6 IPS |
|
|
Text Classification (I8)
|
92% |
175
250.9 IPS |
|
|
Machine Translation (F32)
|
100% |
422
7.76 IPS |
|
|
Machine Translation (F16)
|
100% |
400
7.36 IPS |
|
|
Machine Translation (I8)
|
64% |
266
4.90 IPS |
