Xiaomi M2007J22G
Geekbench AI Score
529
Single Precision Score
528
Half Precision Score
999
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 10:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (Q)
|
100% |
717
133.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
716
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1122
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
1689
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
677
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
728
8.65 IPS |
|
|
Face Detection (Q)
|
95% |
1540
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
931
7.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
949
7.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1563
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1919
2.49 IPS |
|
|
Style Transfer (HP)
|
89% |
1919
2.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3885
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
945
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.7 IPS |
|
|
Text Classification (HP)
|
100% |
288
384.2 IPS |
|
|
Text Classification (Q)
|
88% |
546
735.8 IPS |
|
|
Machine Translation (SP)
|
100% |
490
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
50% |
350
12.4 IPS |
