Xiaomi M2007J20CG
Geekbench AI Score
504
Single Precision Score
493
Half Precision Score
989
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 09:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi M2007J20CG |
| Model ID | Xiaomi M2007J20CG |
| Motherboard | sm6150 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 5.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
100% |
683
127.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
751
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1065
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
1701
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
676
54.6 IPS |
|
|
Face Detection (SP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (HP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (Q)
|
95% |
1489
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
857
6.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
878
6.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1559
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1797
2.33 IPS |
|
|
Style Transfer (HP)
|
89% |
1586
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
3836
4.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
958
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.6 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.1 IPS |
|
|
Text Classification (Q)
|
88% |
545
734.6 IPS |
|
|
Machine Translation (SP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (Q)
|
50% |
328
11.6 IPS |
