Xiaomi 22101316UP
Geekbench AI Score
430
Single Precision Score
422
Half Precision Score
811
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 03:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6877V/TTZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 22101316UP |
| Model ID | Xiaomi 22101316UP |
| Motherboard | rubypro |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TTZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 11.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
100% |
606
112.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
240
3.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
662
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
920
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
923
1.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
1465
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
83% |
564
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (HP)
|
100% |
648
7.71 IPS |
|
|
Face Detection (Q)
|
95% |
1389
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
870
6.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
875
6.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
1253
11.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1544
2.00 IPS |
|
|
Style Transfer (HP)
|
89% |
1456
1.89 IPS |
|
|
Style Transfer (Q)
|
98% |
2835
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
391
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
676
25.1 IPS |
|
|
Text Classification (SP)
|
100% |
194
259.4 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.2 IPS |
|
|
Text Classification (Q)
|
88% |
422
569.2 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
50% |
266
9.44 IPS |
