Xiaomi M2101K9C
Geekbench AI Score
254
Single Precision Score
282
Half Precision Score
140
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 03:36 PM |
| 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% |
302
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (Q)
|
99% |
96
17.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
725
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
87
1.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3800
4.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
263
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (HP)
|
99% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
87% |
101
8.07 IPS |
|
|
Face Detection (SP)
|
100% |
777
9.24 IPS |
|
|
Face Detection (HP)
|
100% |
79
0.94 IPS |
|
|
Face Detection (Q)
|
97% |
209
2.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
172
1.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
74
0.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
179
1.62 IPS |
|
|
Style Transfer (SP)
|
100% |
573
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
143
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
379
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
147
5.45 IPS |
|
|
Text Classification (SP)
|
100% |
5
6.15 IPS |
|
|
Text Classification (HP)
|
100% |
51
68.2 IPS |
|
|
Text Classification (Q)
|
91% |
85
113.9 IPS |
|
|
Machine Translation (SP)
|
100% |
93
1.61 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.52 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.83 IPS |
