Xiaomi Redmi Note 7S
Geekbench ML Score
97
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2023 06:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Xiaomi Redmi Note 7S |
| Model ID | Xiaomi Redmi Note 7S |
| Motherboard | sdm660 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 4 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 2.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
72
7.71 IPS |
|
|
Image Classification (F16)
|
100% |
74
7.95 IPS |
|
|
Image Classification (I8)
|
81% |
93
9.96 IPS |
|
|
Image Segmentation (F32)
|
100% |
167
1.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
160
0.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
314
1.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
53
0.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
42
0.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
69
0.28 IPS |
|
|
Object Detection (F32)
|
100% |
82
2.87 IPS |
|
|
Object Detection (F16)
|
100% |
81
2.83 IPS |
|
|
Object Detection (I8)
|
52% |
120
4.20 IPS |
|
|
Face Detection (F32)
|
100% |
130
1.49 IPS |
|
|
Face Detection (F16)
|
100% |
128
1.47 IPS |
|
|
Face Detection (I8)
|
75% |
166
1.90 IPS |
|
|
Text Classification (F32)
|
100% |
78
31.0 IPS |
|
|
Text Classification (F16)
|
100% |
106
42.0 IPS |
|
|
Machine Translation (F32)
|
100% |
78
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
73
11.3 IPS |
