Xiaomi 21091116UI
Geekbench AI Score
513
Single Precision Score
833
Half Precision Score
568
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 01:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6877V/TZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 21091116UI |
| Model ID | Xiaomi 21091116UI |
| Motherboard | pissarroinpro |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TZA |
| 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 @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 5.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
351
65.2 IPS |
|
|
Image Classification (HP)
|
100% |
704
131.0 IPS |
|
|
Image Classification (Q)
|
97% |
286
53.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
452
7.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
1022
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2042
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3742
4.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
3676
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (HP)
|
99% |
399
31.6 IPS |
|
|
Object Detection (Q)
|
83% |
285
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
943
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
1815
21.6 IPS |
|
|
Face Detection (Q)
|
96% |
1267
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1423
11.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2572
19.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
1941
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3496
4.49 IPS |
|
|
Style Transfer (HP)
|
100% |
7321
9.41 IPS |
|
|
Style Transfer (Q)
|
98% |
7402
9.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
787
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1231
45.6 IPS |
|
|
Text Classification (SP)
|
35% |
18
162.1 IPS |
|
|
Text Classification (HP)
|
35% |
18
163.6 IPS |
|
|
Text Classification (Q)
|
32% |
11
144.3 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (Q)
|
43% |
57
3.29 IPS |
