Xiaomi 23106RN0DA
Geekbench AI Score
212
Single Precision Score
207
Half Precision Score
265
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 02:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6768 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 23106RN0DA |
| Model ID | Xiaomi 23106RN0DA |
| Motherboard | gale |
| CPU Information | |
|---|---|
| Name | ARM MT6768 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores @ 1.70 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
97
18.1 IPS |
|
|
Image Classification (HP)
|
100% |
88
16.3 IPS |
|
|
Image Classification (Q)
|
100% |
179
33.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
222
3.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
445
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
445
0.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
340
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.25 IPS |
|
|
Object Detection (HP)
|
100% |
88
6.95 IPS |
|
|
Object Detection (Q)
|
83% |
174
14.0 IPS |
|
|
Face Detection (SP)
|
100% |
306
3.64 IPS |
|
|
Face Detection (HP)
|
100% |
294
3.50 IPS |
|
|
Face Detection (Q)
|
95% |
488
5.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
388
2.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
390
3.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
382
3.50 IPS |
|
|
Style Transfer (SP)
|
89% |
746
0.97 IPS |
|
|
Style Transfer (HP)
|
89% |
732
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
875
1.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
207
7.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
211
7.81 IPS |
|
|
Text Classification (SP)
|
100% |
114
152.8 IPS |
|
|
Text Classification (HP)
|
100% |
104
138.9 IPS |
|
|
Text Classification (Q)
|
88% |
166
223.3 IPS |
|
|
Machine Translation (SP)
|
100% |
206
3.55 IPS |
|
|
Machine Translation (HP)
|
100% |
200
3.45 IPS |
|
|
Machine Translation (Q)
|
50% |
130
4.63 IPS |
