Xiaomi 22101316C
Geekbench AI Score
235
Single Precision Score
324
Half Precision Score
325
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 10 2025 03:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.3 IPS |
|
|
Image Classification (Q)
|
99% |
228
42.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
382
6.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
161
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
188
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (Q)
|
83% |
180
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
513
6.10 IPS |
|
|
Face Detection (HP)
|
100% |
834
9.91 IPS |
|
|
Face Detection (Q)
|
97% |
705
8.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
308
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
397
3.06 IPS |
|
|
Depth Estimation (Q)
|
62% |
321
3.04 IPS |
|
|
Style Transfer (SP)
|
100% |
622
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
875
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
870
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
238
8.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
236
8.75 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.4 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.8 IPS |
|
|
Text Classification (Q)
|
91% |
361
485.4 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.51 IPS |
