Xiaomi M2104K10AC
Geekbench AI Score
518
Single Precision Score
514
Half Precision Score
959
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 03:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6891Z/CZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi M2104K10AC |
| Model ID | Xiaomi M2104K10AC |
| Motherboard | chopin |
| CPU Information | |
|---|---|
| Name | ARM MT6891Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.8 IPS |
|
|
Image Classification (Q)
|
100% |
526
97.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
619
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1286
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1252
1.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
1836
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (Q)
|
83% |
575
46.4 IPS |
|
|
Face Detection (SP)
|
100% |
726
8.62 IPS |
|
|
Face Detection (HP)
|
100% |
748
8.89 IPS |
|
|
Face Detection (Q)
|
95% |
1729
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
950
7.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
900
6.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1768
16.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2107
2.74 IPS |
|
|
Style Transfer (HP)
|
89% |
2106
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
4535
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1065
39.5 IPS |
|
|
Text Classification (SP)
|
100% |
238
318.0 IPS |
|
|
Text Classification (HP)
|
100% |
240
320.1 IPS |
|
|
Text Classification (Q)
|
88% |
476
642.1 IPS |
|
|
Machine Translation (SP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
50% |
274
9.74 IPS |
