Xiaomi 23043RP34I
Geekbench AI Score
853
Single Precision Score
840
Half Precision Score
1389
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | shivamagnot3 |
| Upload Date | December 05 2024 01:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23043RP34I |
| Model ID | Xiaomi 23043RP34I |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
100% |
1503
279.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1697
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2325
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
3464
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
83% |
1395
112.7 IPS |
|
|
Face Detection (SP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (Q)
|
95% |
3253
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2016
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1987
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3176
29.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3816
4.95 IPS |
|
|
Style Transfer (HP)
|
89% |
3808
4.94 IPS |
|
|
Style Transfer (Q)
|
98% |
7760
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1068
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
644
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
171
227.8 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.2 IPS |
|
|
Text Classification (Q)
|
88% |
262
352.8 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.36 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.71 IPS |
