Xiaomi 2201122G
Geekbench AI Score
1038
Single Precision Score
985
Half Precision Score
2175
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | maheshkondraju |
| Upload Date | May 06 2025 05:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2201122G |
| Model ID | Xiaomi 2201122G |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
100% |
1908
354.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2168
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2340
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2278
2.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
5088
6.03 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
83% |
1575
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
1494
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (Q)
|
95% |
3378
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2018
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2033
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3680
33.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3501
4.54 IPS |
|
|
Style Transfer (HP)
|
89% |
2979
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
6964
8.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2430
90.1 IPS |
|
|
Text Classification (SP)
|
100% |
469
625.9 IPS |
|
|
Text Classification (HP)
|
100% |
468
624.4 IPS |
|
|
Text Classification (Q)
|
88% |
868
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (Q)
|
50% |
393
14.0 IPS |
