Xiaomi 23043RP34G
Geekbench ML Score
807
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 21 2024 04:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 23043RP34G |
| Model ID | Xiaomi 23043RP34G |
| Motherboard | pipa |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
393
73.5 IPS |
|
|
Image Classification (F16)
|
100% |
664
124.3 IPS |
|
|
Image Classification (I8)
|
97% |
1400
262.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
570
9.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
785
13.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1233
20.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1241
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
4683
5.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
11218
13.6 IPS |
|
|
Object Detection (F32)
|
100% |
397
29.7 IPS |
|
|
Object Detection (F16)
|
99% |
644
48.1 IPS |
|
|
Object Detection (I8)
|
59% |
1579
117.8 IPS |
|
|
Face Detection (F32)
|
100% |
1174
14.0 IPS |
|
|
Face Detection (F16)
|
97% |
1653
19.7 IPS |
|
|
Face Detection (I8)
|
88% |
3779
44.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
499
3.87 IPS |
|
|
Depth Estimation (F16)
|
100% |
589
4.57 IPS |
|
|
Depth Estimation (I8)
|
82% |
7835
60.8 IPS |
|
|
Style Transfer (F32)
|
100% |
769
1.01 IPS |
|
|
Style Transfer (F16)
|
100% |
813
1.07 IPS |
|
|
Style Transfer (I8)
|
98% |
4084
5.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
704
25.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1991
71.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
5974
213.4 IPS |
|
|
Text Classification (F32)
|
64% |
11
16.4 IPS |
|
|
Text Classification (F16)
|
64% |
12
16.6 IPS |
|
|
Text Classification (I8)
|
92% |
155
222.6 IPS |
|
|
Machine Translation (F32)
|
100% |
284
5.23 IPS |
|
|
Machine Translation (F16)
|
100% |
384
7.06 IPS |
|
|
Machine Translation (I8)
|
58% |
384
7.06 IPS |
