Xiaomi 2209116AG
Geekbench AI Score
415
Single Precision Score
400
Half Precision Score
736
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 10:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2209116AG |
| Model ID | Xiaomi 2209116AG |
| Motherboard | sweet |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
100% |
573
106.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
626
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
951
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
873
1.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
1319
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
476
38.5 IPS |
|
|
Face Detection (SP)
|
100% |
591
7.02 IPS |
|
|
Face Detection (HP)
|
100% |
588
6.99 IPS |
|
|
Face Detection (Q)
|
95% |
1081
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
723
5.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
559
4.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
1062
9.73 IPS |
|
|
Style Transfer (SP)
|
89% |
1354
1.76 IPS |
|
|
Style Transfer (HP)
|
89% |
1393
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
2629
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
418
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
415
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
648
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.5 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.3 IPS |
|
|
Text Classification (Q)
|
88% |
381
513.4 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
50% |
279
9.91 IPS |
