Xiaomi 22101316C
Geekbench AI Score
580
Single Precision Score
574
Half Precision Score
1196
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 10 2025 03:26 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6877V/TTZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 22101316C |
| Model ID | Xiaomi 22101316C |
| Motherboard | ruby |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
264
49.1 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.9 IPS |
|
|
Image Classification (Q)
|
100% |
810
150.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
915
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1213
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1191
1.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
1991
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
83% |
751
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
808
9.60 IPS |
|
|
Face Detection (HP)
|
100% |
804
9.56 IPS |
|
|
Face Detection (Q)
|
95% |
1891
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1070
8.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
1055
8.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
1838
16.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2187
2.84 IPS |
|
|
Style Transfer (HP)
|
89% |
2151
2.79 IPS |
|
|
Style Transfer (Q)
|
98% |
4622
5.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
597
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1099
40.7 IPS |
|
|
Text Classification (SP)
|
100% |
318
424.8 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.2 IPS |
|
|
Text Classification (Q)
|
88% |
744
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
50% |
414
14.7 IPS |
