Xiaomi 22071219CG
Geekbench AI Score
300
Single Precision Score
514
Half Precision Score
411
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paz_levi |
| Upload Date | August 26 2025 11:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 22071219CG |
| Model ID | Xiaomi 22071219CG |
| Motherboard | stone |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.5 IPS |
|
|
Image Classification (Q)
|
97% |
310
57.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
514
8.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
1145
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2053
2.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
2015
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
99% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
83% |
317
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (HP)
|
100% |
1191
14.2 IPS |
|
|
Face Detection (Q)
|
96% |
1185
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
785
6.05 IPS |
|
|
Depth Estimation (HP)
|
98% |
1491
11.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
1204
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1943
2.50 IPS |
|
|
Style Transfer (HP)
|
100% |
4039
5.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3916
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
766
28.4 IPS |
|
|
Text Classification (SP)
|
35% |
9
79.4 IPS |
|
|
Text Classification (HP)
|
35% |
9
84.9 IPS |
|
|
Text Classification (Q)
|
32% |
6
82.7 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (Q)
|
43% |
53
3.06 IPS |
