Xiaomi 2210132C
Geekbench AI Score
438
Single Precision Score
12229
Half Precision Score
28542
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hamjin |
| Upload Date | October 04 2024 05:01 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2210132C |
| Model ID | Xiaomi 2210132C |
| 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 | 10.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (HP)
|
100% |
13112
2.44 KIPS |
|
|
Image Classification (Q)
|
97% |
32437
6.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
324
5.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
7949
128.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20527
333.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
71791
83.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
293814
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
12266
972.9 IPS |
|
|
Object Detection (Q)
|
86% |
13133
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
635
7.54 IPS |
|
|
Face Detection (HP)
|
100% |
25971
308.6 IPS |
|
|
Face Detection (Q)
|
97% |
88026
1.05 KIPS |
|
|
Depth Estimation (SP)
|
100% |
604
4.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
43369
334.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
81965
767.5 IPS |
|
|
Style Transfer (SP)
|
100% |
917
1.18 IPS |
|
|
Style Transfer (HP)
|
24% |
2945
89.1 IPS |
|
|
Style Transfer (Q)
|
98% |
221154
285.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32381
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82152
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
369
492.6 IPS |
|
|
Text Classification (HP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5327
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (Q)
|
30% |
200
40.1 IPS |
