Xiaomi M2101K9C
Geekbench AI Score
271
Single Precision Score
275
Half Precision Score
279
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 03:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
252
47.0 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
97% |
194
36.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
224
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
217
0.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
214
0.25 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
89% |
168
13.4 IPS |
|
|
Face Detection (SP)
|
100% |
706
8.38 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
898
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
588
4.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
670
5.18 IPS |
|
|
Depth Estimation (Q)
|
62% |
535
5.07 IPS |
|
|
Style Transfer (SP)
|
100% |
1083
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2063
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
2086
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
237
8.78 IPS |
|
|
Text Classification (SP)
|
100% |
50
67.2 IPS |
|
|
Text Classification (HP)
|
100% |
51
68.7 IPS |
|
|
Text Classification (Q)
|
91% |
101
135.3 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.52 IPS |
|
|
Machine Translation (Q)
|
57% |
79
1.92 IPS |
