Xiaomi 23054RA19C
Geekbench AI Score
1029
Single Precision Score
1032
Half Precision Score
2038
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 07:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23054RA19C |
| Model ID | Xiaomi 23054RA19C |
| Motherboard | pearl |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.8 IPS |
|
|
Image Classification (Q)
|
100% |
1532
284.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1641
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1676
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1972
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3668
4.35 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (Q)
|
83% |
1337
108.0 IPS |
|
|
Face Detection (SP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (Q)
|
95% |
3131
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2080
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1998
15.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3351
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3710
4.82 IPS |
|
|
Style Transfer (HP)
|
89% |
3618
4.70 IPS |
|
|
Style Transfer (Q)
|
98% |
8484
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2067
76.6 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.5 IPS |
|
|
Text Classification (HP)
|
100% |
584
780.1 IPS |
|
|
Text Classification (Q)
|
88% |
1096
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
50% |
499
17.7 IPS |
