Xiaomi 22071212AG
Geekbench AI Score
438
Single Precision Score
521
Half Precision Score
471
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Sw3gmach1n3 |
| Upload Date | February 22 2025 06:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 22071212AG |
| Model ID | Xiaomi 22071212AG |
| Motherboard | plato |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
346
64.4 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.6 IPS |
|
|
Image Classification (Q)
|
99% |
498
92.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
257
4.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
407
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
566
0.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
561
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (Q)
|
83% |
151
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (HP)
|
100% |
883
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
775
9.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
646
4.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
766
5.90 IPS |
|
|
Depth Estimation (Q)
|
62% |
625
5.91 IPS |
|
|
Style Transfer (SP)
|
100% |
1645
2.11 IPS |
|
|
Style Transfer (HP)
|
100% |
2197
2.82 IPS |
|
|
Style Transfer (Q)
|
98% |
2184
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
393
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
205
273.3 IPS |
|
|
Text Classification (HP)
|
100% |
205
274.0 IPS |
|
|
Text Classification (Q)
|
91% |
411
552.9 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (Q)
|
57% |
295
7.20 IPS |
