Xiaomi 23043RP34G
Geekbench ML Score
852
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 16 2024 02:48 AM |
| Views | 4 |
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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
458
85.8 IPS |
|
|
Image Classification (F16)
|
100% |
755
141.2 IPS |
|
|
Image Classification (I8)
|
97% |
1395
261.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
637
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1267
21.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1548
1.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
5866
7.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
11256
13.6 IPS |
|
|
Object Detection (F32)
|
100% |
458
34.2 IPS |
|
|
Object Detection (F16)
|
99% |
702
52.4 IPS |
|
|
Object Detection (I8)
|
59% |
1493
111.5 IPS |
|
|
Face Detection (F32)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (F16)
|
97% |
1759
20.9 IPS |
|
|
Face Detection (I8)
|
88% |
3655
43.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
529
4.10 IPS |
|
|
Depth Estimation (F16)
|
100% |
611
4.74 IPS |
|
|
Depth Estimation (I8)
|
82% |
7431
57.6 IPS |
|
|
Style Transfer (F32)
|
100% |
797
1.05 IPS |
|
|
Style Transfer (F16)
|
100% |
846
1.11 IPS |
|
|
Style Transfer (I8)
|
98% |
4141
5.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
839
30.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2361
84.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
5838
208.5 IPS |
|
|
Text Classification (F32)
|
64% |
11
16.0 IPS |
|
|
Text Classification (F16)
|
64% |
11
16.4 IPS |
|
|
Text Classification (I8)
|
92% |
145
208.7 IPS |
|
|
Machine Translation (F32)
|
100% |
292
5.37 IPS |
|
|
Machine Translation (F16)
|
100% |
378
6.96 IPS |
|
|
Machine Translation (I8)
|
58% |
413
7.60 IPS |
