Xiaomi 23043RP34G
Geekbench ML Score
591
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 16 2024 02:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
279
52.2 IPS |
|
|
Image Classification (F16)
|
100% |
399
74.7 IPS |
|
|
Image Classification (I8)
|
97% |
403
75.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
366
6.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
665
11.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
660
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
540
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
1082
1.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
1080
1.31 IPS |
|
|
Object Detection (F32)
|
100% |
202
15.1 IPS |
|
|
Object Detection (F16)
|
100% |
233
17.4 IPS |
|
|
Object Detection (I8)
|
62% |
221
16.5 IPS |
|
|
Face Detection (F32)
|
100% |
664
7.90 IPS |
|
|
Face Detection (F16)
|
97% |
1232
14.6 IPS |
|
|
Face Detection (I8)
|
87% |
1250
14.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
655
5.08 IPS |
|
|
Depth Estimation (F16)
|
100% |
1244
9.64 IPS |
|
|
Depth Estimation (I8)
|
95% |
1249
9.69 IPS |
|
|
Style Transfer (F32)
|
100% |
1222
1.61 IPS |
|
|
Style Transfer (F16)
|
100% |
2934
3.86 IPS |
|
|
Style Transfer (I8)
|
98% |
2921
3.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
329
11.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
748
26.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
739
26.4 IPS |
|
|
Text Classification (F32)
|
100% |
231
331.7 IPS |
|
|
Text Classification (F16)
|
100% |
230
330.0 IPS |
|
|
Text Classification (I8)
|
92% |
405
582.4 IPS |
|
|
Machine Translation (F32)
|
100% |
380
7.00 IPS |
|
|
Machine Translation (F16)
|
100% |
381
7.01 IPS |
|
|
Machine Translation (I8)
|
64% |
482
8.87 IPS |
