Xiaomi 2201123C
Geekbench AI Score
847
Single Precision Score
818
Half Precision Score
1775
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2201123C |
| Model ID | Xiaomi 2201123C |
| 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 | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.2 IPS |
|
|
Image Classification (Q)
|
100% |
2021
375.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2160
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2207
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2005
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3340
3.96 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.4 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
83% |
1208
97.6 IPS |
|
|
Face Detection (SP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
2353
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1484
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1481
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2569
23.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2504
3.25 IPS |
|
|
Style Transfer (HP)
|
89% |
2508
3.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6644
8.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1688
62.5 IPS |
|
|
Text Classification (SP)
|
100% |
335
447.4 IPS |
|
|
Text Classification (HP)
|
100% |
336
448.9 IPS |
|
|
Text Classification (Q)
|
88% |
625
842.8 IPS |
|
|
Machine Translation (SP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
417
14.8 IPS |
