Xiaomi 23043RP34G
Geekbench ML Score
511
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 21 2024 04:42 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
226
42.4 IPS |
|
|
Image Classification (F16)
|
100% |
330
61.8 IPS |
|
|
Image Classification (I8)
|
97% |
333
62.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
289
4.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
569
9.51 IPS |
|
|
Image Segmentation (I8)
|
98% |
564
9.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
422
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
840
1.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
837
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
177
13.2 IPS |
|
|
Object Detection (F16)
|
100% |
325
24.3 IPS |
|
|
Object Detection (I8)
|
62% |
226
16.9 IPS |
|
|
Face Detection (F32)
|
100% |
540
6.42 IPS |
|
|
Face Detection (F16)
|
97% |
1060
12.6 IPS |
|
|
Face Detection (I8)
|
87% |
1074
12.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
509
3.95 IPS |
|
|
Depth Estimation (F16)
|
100% |
952
7.38 IPS |
|
|
Depth Estimation (I8)
|
95% |
956
7.41 IPS |
|
|
Style Transfer (F32)
|
100% |
965
1.27 IPS |
|
|
Style Transfer (F16)
|
100% |
2420
3.18 IPS |
|
|
Style Transfer (I8)
|
98% |
2450
3.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
245
8.74 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
594
21.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
588
21.0 IPS |
|
|
Text Classification (F32)
|
100% |
233
334.2 IPS |
|
|
Text Classification (F16)
|
100% |
235
337.9 IPS |
|
|
Text Classification (I8)
|
92% |
405
582.7 IPS |
|
|
Machine Translation (F32)
|
100% |
381
7.01 IPS |
|
|
Machine Translation (F16)
|
100% |
386
7.10 IPS |
|
|
Machine Translation (I8)
|
64% |
450
8.28 IPS |
