Xiaomi 23108RN04Y
Geekbench AI Score
96
Single Precision Score
134
Half Precision Score
129
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SamsulGG15 |
| Upload Date | October 28 2024 10:58 AM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
73
13.6 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
110
20.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
92
1.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
141
2.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
142
2.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
59
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
81
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
81
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
56
4.40 IPS |
|
|
Object Detection (HP)
|
100% |
90
7.17 IPS |
|
|
Object Detection (Q)
|
83% |
88
7.15 IPS |
|
|
Face Detection (SP)
|
100% |
216
2.56 IPS |
|
|
Face Detection (HP)
|
100% |
328
3.90 IPS |
|
|
Face Detection (Q)
|
97% |
298
3.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
123
0.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
181
1.40 IPS |
|
|
Depth Estimation (Q)
|
62% |
137
1.30 IPS |
|
|
Style Transfer (SP)
|
100% |
239
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
374
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
372
0.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68
2.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
102
3.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
102
3.76 IPS |
|
|
Text Classification (SP)
|
100% |
63
84.3 IPS |
|
|
Text Classification (HP)
|
100% |
63
84.4 IPS |
|
|
Text Classification (Q)
|
91% |
89
119.2 IPS |
|
|
Machine Translation (SP)
|
100% |
114
1.97 IPS |
|
|
Machine Translation (HP)
|
100% |
110
1.90 IPS |
|
|
Machine Translation (Q)
|
57% |
85
2.08 IPS |
