Xiaomi M2101K9R
Geekbench AI Score
383
Single Precision Score
369
Half Precision Score
732
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 03 2025 09:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Renoir |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi M2101K9R |
| Model ID | Xiaomi M2101K9R |
| 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 | 5.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (Q)
|
100% |
488
90.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
761
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1196
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1106
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1734
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.1 IPS |
|
|
Object Detection (Q)
|
83% |
623
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
382
4.53 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.46 IPS |
|
|
Face Detection (Q)
|
95% |
922
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1023
7.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
1049
8.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
1560
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1206
1.57 IPS |
|
|
Style Transfer (HP)
|
89% |
1181
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2447
3.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
657
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.5 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.6 IPS |
|
|
Text Classification (Q)
|
88% |
287
386.9 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
50% |
166
5.90 IPS |
