Xiaomi 2109119BC
Geekbench AI Score
211
Single Precision Score
211
Half Precision Score
9461
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 17 2025 05:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM zijin |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi 2109119BC |
| Model ID | Xiaomi 2109119BC |
| Motherboard | zijin |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM zijin |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
124
23.0 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
99% |
7578
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
5731
93.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
45411
53.2 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.76 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.80 IPS |
|
|
Object Detection (Q)
|
88% |
3947
316.2 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (Q)
|
97% |
19427
231.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
274
2.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
21395
197.0 IPS |
|
|
Style Transfer (SP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
468
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
93381
120.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
20391
755.6 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.7 IPS |
|
|
Text Classification (HP)
|
100% |
187
249.3 IPS |
|
|
Text Classification (Q)
|
94% |
2375
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.23 IPS |
|
|
Machine Translation (Q)
|
50% |
393
13.6 IPS |
