Xiaomi M2102J20SG
Geekbench ML Score
465
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 11 2024 12:30 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi M2102J20SG |
| Model ID | Xiaomi M2102J20SG |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
226
42.2 IPS |
|
|
Image Classification (F16)
|
100% |
385
72.1 IPS |
|
|
Image Classification (I8)
|
97% |
389
72.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
301
5.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
585
9.77 IPS |
|
|
Image Segmentation (I8)
|
98% |
574
9.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
436
0.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
454
0.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
446
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
188
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
237
17.7 IPS |
|
|
Object Detection (I8)
|
62% |
264
19.7 IPS |
|
|
Face Detection (F32)
|
100% |
555
6.60 IPS |
|
|
Face Detection (F16)
|
97% |
1157
13.8 IPS |
|
|
Face Detection (I8)
|
87% |
1212
14.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
508
3.94 IPS |
|
|
Depth Estimation (F16)
|
100% |
1021
7.92 IPS |
|
|
Depth Estimation (I8)
|
95% |
1014
7.86 IPS |
|
|
Style Transfer (F32)
|
100% |
1033
1.36 IPS |
|
|
Style Transfer (F16)
|
100% |
2588
3.40 IPS |
|
|
Style Transfer (I8)
|
98% |
2583
3.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
284
10.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
618
22.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
614
21.9 IPS |
|
|
Text Classification (F32)
|
100% |
123
177.1 IPS |
|
|
Text Classification (F16)
|
100% |
124
178.1 IPS |
|
|
Text Classification (I8)
|
92% |
198
284.9 IPS |
|
|
Machine Translation (F32)
|
100% |
318
5.85 IPS |
|
|
Machine Translation (F16)
|
100% |
323
5.95 IPS |
|
|
Machine Translation (I8)
|
64% |
334
6.14 IPS |
