Xiaomi M2002J9G
Geekbench AI Score
172
Single Precision Score
292
Half Precision Score
295
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 11:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
99
18.5 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
97% |
182
33.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
256
4.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
177
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
305
0.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
304
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.67 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
89% |
132
10.5 IPS |
|
|
Face Detection (SP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (HP)
|
100% |
503
5.97 IPS |
|
|
Face Detection (Q)
|
97% |
526
6.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
231
1.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
477
3.69 IPS |
|
|
Depth Estimation (Q)
|
62% |
393
3.72 IPS |
|
|
Style Transfer (SP)
|
100% |
410
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1078
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
1071
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
102
3.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
198
7.34 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.2 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.8 IPS |
|
|
Text Classification (Q)
|
91% |
288
387.4 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.18 IPS |
