Xiaomi 2201116SG
Geekbench ML Score
237
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 06 2024 07:33 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
106
19.9 IPS |
|
|
Image Classification (F16)
|
100% |
173
32.3 IPS |
|
|
Image Classification (I8)
|
97% |
184
34.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
137
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
241
4.02 IPS |
|
|
Image Segmentation (I8)
|
98% |
248
4.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
211
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
285
0.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
285
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
90
6.74 IPS |
|
|
Object Detection (F16)
|
100% |
125
9.35 IPS |
|
|
Object Detection (I8)
|
62% |
130
9.67 IPS |
|
|
Face Detection (F32)
|
100% |
251
2.98 IPS |
|
|
Face Detection (F16)
|
97% |
448
5.33 IPS |
|
|
Face Detection (I8)
|
87% |
458
5.45 IPS |
|
|
Depth Estimation (F32)
|
100% |
254
1.97 IPS |
|
|
Depth Estimation (F16)
|
100% |
436
3.38 IPS |
|
|
Depth Estimation (I8)
|
95% |
440
3.42 IPS |
|
|
Style Transfer (F32)
|
100% |
481
0.63 IPS |
|
|
Style Transfer (F16)
|
100% |
1018
1.34 IPS |
|
|
Style Transfer (I8)
|
98% |
1025
1.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
127
4.53 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
210
7.49 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
212
7.59 IPS |
|
|
Text Classification (F32)
|
100% |
115
165.8 IPS |
|
|
Text Classification (F16)
|
100% |
116
166.0 IPS |
|
|
Text Classification (I8)
|
92% |
218
312.9 IPS |
|
|
Machine Translation (F32)
|
100% |
218
4.02 IPS |
|
|
Machine Translation (F16)
|
100% |
217
3.99 IPS |
|
|
Machine Translation (I8)
|
64% |
283
5.21 IPS |
