Xiaomi M2003J15SC
Geekbench AI Score
217
Single Precision Score
215
Half Precision Score
313
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 04:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769Z |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi M2003J15SC |
| Model ID | Xiaomi M2003J15SC |
| Motherboard | merlinnfc |
| CPU Information | |
|---|---|
| Name | ARM MT6769Z |
| 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% |
98
18.2 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (Q)
|
100% |
209
38.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
264
4.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
476
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
413
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
93
7.40 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.48 IPS |
|
|
Object Detection (Q)
|
83% |
202
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
299
3.56 IPS |
|
|
Face Detection (HP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (Q)
|
95% |
563
6.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
395
3.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
377
2.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
457
4.19 IPS |
|
|
Style Transfer (SP)
|
89% |
804
1.04 IPS |
|
|
Style Transfer (HP)
|
89% |
789
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
1050
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
195
7.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
202
7.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
258
9.55 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.3 IPS |
|
|
Text Classification (HP)
|
100% |
120
159.7 IPS |
|
|
Text Classification (Q)
|
88% |
188
252.9 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (HP)
|
100% |
213
3.67 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.32 IPS |
