Xiaomi 22041216UG
Geekbench AI Score
1044
Single Precision Score
1034
Half Precision Score
1920
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 07:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 22041216UG |
| Model ID | Xiaomi 22041216UG |
| Motherboard | xagapro |
| 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 | 4 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
487
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.0 IPS |
|
|
Image Classification (Q)
|
100% |
1415
263.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1659
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2161
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2085
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
3381
4.01 IPS |
|
|
Object Detection (SP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (HP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (Q)
|
83% |
1234
99.7 IPS |
|
|
Face Detection (SP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1434
17.0 IPS |
|
|
Face Detection (Q)
|
95% |
3221
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1963
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1950
15.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2790
25.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3883
5.04 IPS |
|
|
Style Transfer (HP)
|
89% |
3866
5.02 IPS |
|
|
Style Transfer (Q)
|
98% |
7684
9.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1866
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.4 IPS |
|
|
Text Classification (HP)
|
100% |
513
684.8 IPS |
|
|
Text Classification (Q)
|
88% |
969
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
557
19.8 IPS |
