Xiaomi 23108RN04Y
Geekbench AI Score
87
Single Precision Score
86
Half Precision Score
146
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SamsulGG15 |
| Upload Date | October 28 2024 09:37 AM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23108RN04Y |
| Model ID | Xiaomi 23108RN04Y |
| Motherboard | gust |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
50
9.31 IPS |
|
|
Image Classification (HP)
|
100% |
51
9.42 IPS |
|
|
Image Classification (Q)
|
99% |
97
18.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
69
1.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
69
1.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
112
1.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
96
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
203
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
50
3.94 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.98 IPS |
|
|
Object Detection (Q)
|
87% |
97
7.82 IPS |
|
|
Face Detection (SP)
|
100% |
129
1.53 IPS |
|
|
Face Detection (HP)
|
100% |
131
1.55 IPS |
|
|
Face Detection (Q)
|
97% |
243
2.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
117
0.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
114
0.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
195
1.77 IPS |
|
|
Style Transfer (SP)
|
100% |
216
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
213
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
439
0.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59
2.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57
2.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
117
4.32 IPS |
|
|
Text Classification (SP)
|
100% |
69
92.4 IPS |
|
|
Text Classification (HP)
|
100% |
68
91.0 IPS |
|
|
Text Classification (Q)
|
91% |
96
129.6 IPS |
|
|
Machine Translation (SP)
|
100% |
123
2.11 IPS |
|
|
Machine Translation (HP)
|
100% |
121
2.09 IPS |
|
|
Machine Translation (Q)
|
57% |
93
2.28 IPS |
