Xiaomi 2210132G
Geekbench AI Score
489
Single Precision Score
16682
Half Precision Score
37604
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 07:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2210132G |
| Model ID | Xiaomi 2210132G |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
13418
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
32335
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
7918
128.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22041
358.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
72158
84.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
295303
345.6 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
100% |
12234
970.4 IPS |
|
|
Object Detection (Q)
|
86% |
13932
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
727
8.64 IPS |
|
|
Face Detection (HP)
|
100% |
26086
310.0 IPS |
|
|
Face Detection (Q)
|
97% |
91832
1.10 KIPS |
|
|
Depth Estimation (SP)
|
100% |
619
4.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
45195
348.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
82458
772.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1005
1.29 IPS |
|
|
Style Transfer (HP)
|
98% |
59658
76.9 IPS |
|
|
Style Transfer (Q)
|
98% |
294391
379.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32721
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82150
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
436
581.6 IPS |
|
|
Text Classification (HP)
|
100% |
2521
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5643
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3068
52.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1866
48.9 IPS |
