Xiaomi M2007J22G
Geekbench AI Score
199
Single Precision Score
275
Half Precision Score
269
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 10:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6853T |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi M2007J22G |
| Model ID | Xiaomi M2007J22G |
| Motherboard | cannong |
| CPU Information | |
|---|---|
| Name | ARM MT6853T |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (Q)
|
99% |
236
44.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
326
5.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
314
5.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
137
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
159
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
159
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.80 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
164
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
394
4.69 IPS |
|
|
Face Detection (HP)
|
100% |
620
7.37 IPS |
|
|
Face Detection (Q)
|
97% |
558
6.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
325
2.50 IPS |
|
|
Depth Estimation (Q)
|
62% |
262
2.48 IPS |
|
|
Style Transfer (SP)
|
100% |
507
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
688
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
689
0.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
170
6.30 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.9 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.6 IPS |
|
|
Text Classification (Q)
|
91% |
276
370.5 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.97 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.97 IPS |
|
|
Machine Translation (Q)
|
57% |
223
5.44 IPS |
