Xiaomi M2101K6G
Geekbench AI Score
352
Single Precision Score
587
Half Precision Score
541
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | January 05 2026 06:58 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi M2101K6G |
| Model ID | Xiaomi M2101K6G |
| 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 | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.2 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (Q)
|
99% |
386
72.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
593
9.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
578
9.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
1342
1.57 IPS |
|
|
Pose Estimation (HP)
|
99% |
2256
2.63 IPS |
|
|
Pose Estimation (Q)
|
97% |
2226
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (HP)
|
99% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
85% |
329
26.5 IPS |
|
|
Face Detection (SP)
|
100% |
755
8.97 IPS |
|
|
Face Detection (HP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
1120
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
755
5.82 IPS |
|
|
Depth Estimation (HP)
|
98% |
1279
9.88 IPS |
|
|
Depth Estimation (Q)
|
63% |
1048
9.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1789
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3401
4.37 IPS |
|
|
Style Transfer (Q)
|
98% |
3303
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
578
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
572
21.2 IPS |
|
|
Text Classification (SP)
|
35% |
15
142.9 IPS |
|
|
Text Classification (HP)
|
35% |
24
221.6 IPS |
|
|
Text Classification (Q)
|
35% |
23
213.6 IPS |
|
|
Machine Translation (SP)
|
100% |
223
3.84 IPS |
|
|
Machine Translation (HP)
|
97% |
328
5.67 IPS |
|
|
Machine Translation (Q)
|
64% |
262
5.38 IPS |
