Xiaomi M2101K9C
Geekbench AI Score
256
Single Precision Score
284
Half Precision Score
140
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 08:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Renoir |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi M2101K9C |
| Model ID | Xiaomi M2101K9C |
| Motherboard | renoir |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Renoir |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 3 Cores @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
305
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.3 IPS |
|
|
Image Classification (Q)
|
99% |
96
17.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
737
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
87
1.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3867
4.51 IPS |
|
|
Pose Estimation (Q)
|
98% |
263
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (HP)
|
99% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
87% |
101
8.10 IPS |
|
|
Face Detection (SP)
|
100% |
794
9.43 IPS |
|
|
Face Detection (HP)
|
100% |
79
0.94 IPS |
|
|
Face Detection (Q)
|
97% |
208
2.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
173
1.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
74
0.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
180
1.63 IPS |
|
|
Style Transfer (SP)
|
100% |
576
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
143
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
380
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
149
5.53 IPS |
|
|
Text Classification (SP)
|
100% |
5
6.38 IPS |
|
|
Text Classification (HP)
|
100% |
51
68.3 IPS |
|
|
Text Classification (Q)
|
91% |
84
112.9 IPS |
|
|
Machine Translation (SP)
|
100% |
94
1.61 IPS |
|
|
Machine Translation (HP)
|
100% |
89
1.53 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.84 IPS |
