Xiaomi 23053RN02Y
Geekbench AI Score
91
Single Precision Score
127
Half Precision Score
123
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 03 2024 08:33 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6769H |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23053RN02Y |
| Model ID | Xiaomi 23053RN02Y |
| Motherboard | heat |
| CPU Information | |
|---|---|
| Name | ARM MT6769H |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
72
13.5 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
99% |
110
20.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
135
2.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
59
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
81
0.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
81
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
54
4.30 IPS |
|
|
Object Detection (HP)
|
100% |
88
6.98 IPS |
|
|
Object Detection (Q)
|
83% |
85
6.91 IPS |
|
|
Face Detection (SP)
|
100% |
210
2.50 IPS |
|
|
Face Detection (HP)
|
100% |
310
3.68 IPS |
|
|
Face Detection (Q)
|
97% |
288
3.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
114
0.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
168
1.29 IPS |
|
|
Depth Estimation (Q)
|
62% |
128
1.21 IPS |
|
|
Style Transfer (SP)
|
100% |
223
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
347
0.45 IPS |
|
|
Style Transfer (Q)
|
98% |
345
0.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63
2.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
95
3.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
94
3.49 IPS |
|
|
Text Classification (SP)
|
100% |
58
77.2 IPS |
|
|
Text Classification (HP)
|
100% |
58
77.0 IPS |
|
|
Text Classification (Q)
|
91% |
80
107.5 IPS |
|
|
Machine Translation (SP)
|
100% |
104
1.80 IPS |
|
|
Machine Translation (HP)
|
100% |
104
1.80 IPS |
|
|
Machine Translation (Q)
|
57% |
87
2.12 IPS |
