Xiaomi M2101K7BG
Geekbench AI Score
417
Single Precision Score
398
Half Precision Score
799
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 12:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6785 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi M2101K7BG |
| Model ID | Xiaomi M2101K7BG |
| Motherboard | secret |
| CPU Information | |
|---|---|
| Name | ARM MT6785 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (Q)
|
100% |
520
96.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
617
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
822
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
803
0.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
1307
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (Q)
|
83% |
526
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
635
7.55 IPS |
|
|
Face Detection (HP)
|
100% |
477
5.66 IPS |
|
|
Face Detection (Q)
|
95% |
1061
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
682
5.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
622
4.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1320
12.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1516
1.97 IPS |
|
|
Style Transfer (HP)
|
89% |
1460
1.90 IPS |
|
|
Style Transfer (Q)
|
98% |
3283
4.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
805
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
239
318.6 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.6 IPS |
|
|
Text Classification (Q)
|
88% |
427
576.3 IPS |
|
|
Machine Translation (SP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.10 IPS |
|
|
Machine Translation (Q)
|
50% |
306
10.9 IPS |
