Xiaomi 21121210G
Geekbench ML Score
681
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 12 2024 07:49 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 21121210G |
| Model ID | Xiaomi 21121210G |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.04 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
464
86.8 IPS |
|
|
Image Classification (F16)
|
100% |
391
73.1 IPS |
|
|
Image Classification (I8)
|
97% |
456
85.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
780
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1106
18.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1009
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
666
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
1214
1.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
1219
1.48 IPS |
|
|
Object Detection (F32)
|
100% |
342
25.5 IPS |
|
|
Object Detection (F16)
|
100% |
250
18.7 IPS |
|
|
Object Detection (I8)
|
62% |
342
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
1432
17.0 IPS |
|
|
Face Detection (F16)
|
97% |
1433
17.0 IPS |
|
|
Face Detection (I8)
|
87% |
1371
16.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1043
8.09 IPS |
|
|
Depth Estimation (F16)
|
100% |
2236
17.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2207
17.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2384
3.14 IPS |
|
|
Style Transfer (F16)
|
100% |
4667
6.14 IPS |
|
|
Style Transfer (I8)
|
98% |
4662
6.13 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
326
11.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
411
14.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
403
14.4 IPS |
|
|
Text Classification (F32)
|
100% |
131
188.7 IPS |
|
|
Text Classification (F16)
|
100% |
131
188.9 IPS |
|
|
Text Classification (I8)
|
92% |
235
338.0 IPS |
|
|
Machine Translation (F32)
|
100% |
289
5.31 IPS |
|
|
Machine Translation (F16)
|
100% |
291
5.36 IPS |
|
|
Machine Translation (I8)
|
64% |
350
6.45 IPS |
