Xiaomi 23046RP50C
Geekbench AI Score
770
Single Precision Score
1153
Half Precision Score
1170
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 02:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23046RP50C |
| Model ID | Xiaomi 23046RP50C |
| Motherboard | taro |
| Governor | powersave |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
597
111.1 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.9 IPS |
|
|
Image Classification (Q)
|
97% |
690
128.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1063
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1615
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
753
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1352
1.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
1364
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
89% |
700
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2778
33.0 IPS |
|
|
Face Detection (Q)
|
97% |
2556
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1142
8.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
2721
21.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2174
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2968
3.82 IPS |
|
|
Style Transfer (HP)
|
100% |
6530
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
6627
8.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
501
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.9 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.0 IPS |
|
|
Text Classification (Q)
|
91% |
550
739.8 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
57% |
449
11.0 IPS |
