Xiaomi 22101316UG
Geekbench AI Score
223
Single Precision Score
300
Half Precision Score
307
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 07 2024 06:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6877V/TTZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 22101316UG |
| Model ID | Xiaomi 22101316UG |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (Q)
|
99% |
223
41.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
365
5.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
189
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.74 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (Q)
|
83% |
186
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
464
5.52 IPS |
|
|
Face Detection (HP)
|
100% |
671
7.97 IPS |
|
|
Face Detection (Q)
|
97% |
617
7.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
305
2.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
393
3.03 IPS |
|
|
Depth Estimation (Q)
|
62% |
317
3.00 IPS |
|
|
Style Transfer (SP)
|
100% |
620
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
875
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
869
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
234
8.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
229
8.48 IPS |
|
|
Text Classification (SP)
|
100% |
145
192.9 IPS |
|
|
Text Classification (HP)
|
100% |
137
183.3 IPS |
|
|
Text Classification (Q)
|
91% |
300
403.6 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.83 IPS |
|
|
Machine Translation (Q)
|
57% |
229
5.60 IPS |
