Xiaomi 24018RPACG
Geekbench AI Score
829
Single Precision Score
1086
Half Precision Score
990
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | MutnuyHavy |
| Upload Date | September 18 2024 02:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 24018RPACG |
| Model ID | Xiaomi 24018RPACG |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (Q)
|
96% |
496
92.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1066
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
710
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1004
1.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
1017
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
87% |
758
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
2037
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
2123
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1191
9.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
2378
18.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2003
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3174
4.08 IPS |
|
|
Style Transfer (HP)
|
100% |
7478
9.61 IPS |
|
|
Style Transfer (Q)
|
98% |
7386
9.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
221
8.17 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
217
8.04 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.3 IPS |
|
|
Text Classification (HP)
|
100% |
456
608.4 IPS |
|
|
Text Classification (Q)
|
91% |
644
865.1 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
510
12.5 IPS |
