Xiaomi M2002J9G
Geekbench AI Score
192
Single Precision Score
198
Half Precision Score
441
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 12:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi M2002J9G |
| Model ID | Xiaomi M2002J9G |
| Motherboard | monet |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (HP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (Q)
|
99% |
285
53.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
296
4.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
193
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
205
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
820
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.05 IPS |
|
|
Object Detection (HP)
|
100% |
118
9.37 IPS |
|
|
Object Detection (Q)
|
87% |
323
25.9 IPS |
|
|
Face Detection (SP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (HP)
|
100% |
301
3.57 IPS |
|
|
Face Detection (Q)
|
97% |
602
7.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
238
1.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
248
1.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
586
5.32 IPS |
|
|
Style Transfer (SP)
|
100% |
392
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
404
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1242
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
123
4.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
458
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
185
246.5 IPS |
|
|
Text Classification (HP)
|
100% |
186
247.7 IPS |
|
|
Text Classification (Q)
|
91% |
288
387.4 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
57% |
216
5.29 IPS |
