Xiaomi M2004J19C
Geekbench AI Score
98
Single Precision Score
140
Half Precision Score
135
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 12:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6769T |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi M2004J19C |
| Model ID | Xiaomi M2004J19C |
| Motherboard | galahad |
| CPU Information | |
|---|---|
| Name | ARM MT6769T |
| 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 | 2.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
70
13.0 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
99% |
112
20.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
176
2.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
56
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
77
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
77
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.56 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.55 IPS |
|
|
Object Detection (Q)
|
83% |
93
7.49 IPS |
|
|
Face Detection (SP)
|
100% |
228
2.71 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
324
3.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
121
0.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
166
1.28 IPS |
|
|
Depth Estimation (Q)
|
62% |
134
1.27 IPS |
|
|
Style Transfer (SP)
|
100% |
236
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
356
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
354
0.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
99
3.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
98
3.65 IPS |
|
|
Text Classification (SP)
|
100% |
68
90.9 IPS |
|
|
Text Classification (HP)
|
100% |
69
91.5 IPS |
|
|
Text Classification (Q)
|
91% |
103
137.9 IPS |
|
|
Machine Translation (SP)
|
100% |
122
2.09 IPS |
|
|
Machine Translation (HP)
|
100% |
128
2.21 IPS |
|
|
Machine Translation (Q)
|
57% |
98
2.39 IPS |
