Xiaomi 23124RA7EO
Geekbench ML Score
98
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 27 2024 12:53 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 23124RA7EO |
| Model ID | Xiaomi 23124RA7EO |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
36
6.66 IPS |
|
|
Image Classification (F16)
|
100% |
72
13.5 IPS |
|
|
Image Classification (I8)
|
97% |
74
13.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
34
0.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
118
1.97 IPS |
|
|
Image Segmentation (I8)
|
98% |
117
1.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
61
0.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
118
0.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
119
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
37
2.73 IPS |
|
|
Object Detection (F16)
|
100% |
60
4.47 IPS |
|
|
Object Detection (I8)
|
62% |
60
4.45 IPS |
|
|
Face Detection (F32)
|
100% |
90
1.07 IPS |
|
|
Face Detection (F16)
|
97% |
223
2.65 IPS |
|
|
Face Detection (I8)
|
87% |
229
2.73 IPS |
|
|
Depth Estimation (F32)
|
100% |
81
0.63 IPS |
|
|
Depth Estimation (F16)
|
100% |
166
1.29 IPS |
|
|
Depth Estimation (I8)
|
95% |
167
1.30 IPS |
|
|
Style Transfer (F32)
|
100% |
166
0.22 IPS |
|
|
Style Transfer (F16)
|
100% |
313
0.41 IPS |
|
|
Style Transfer (I8)
|
98% |
313
0.41 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
42
1.51 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
86
3.06 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
86
3.06 IPS |
|
|
Text Classification (F32)
|
100% |
68
97.3 IPS |
|
|
Text Classification (F16)
|
100% |
70
101.0 IPS |
|
|
Text Classification (I8)
|
92% |
92
132.5 IPS |
|
|
Machine Translation (F32)
|
100% |
131
2.40 IPS |
|
|
Machine Translation (F16)
|
100% |
131
2.40 IPS |
|
|
Machine Translation (I8)
|
64% |
137
2.52 IPS |
