Xiaomi 2109119BC
Geekbench AI Score
572
Single Precision Score
904
Half Precision Score
824
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 17 2025 04:01 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
437
81.2 IPS |
|
|
Image Classification (HP)
|
100% |
676
125.7 IPS |
|
|
Image Classification (Q)
|
99% |
606
113.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
978
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2426
2.83 IPS |
|
|
Pose Estimation (HP)
|
99% |
4329
5.05 IPS |
|
|
Pose Estimation (Q)
|
97% |
4251
4.98 IPS |
|
|
Object Detection (SP)
|
100% |
352
28.0 IPS |
|
|
Object Detection (HP)
|
99% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
85% |
453
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
1091
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
1541
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1485
11.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2464
19.0 IPS |
|
|
Depth Estimation (Q)
|
65% |
2028
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3024
3.89 IPS |
|
|
Style Transfer (HP)
|
100% |
6203
7.97 IPS |
|
|
Style Transfer (Q)
|
98% |
6115
7.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
627
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
983
36.4 IPS |
|
|
Text Classification (SP)
|
35% |
22
211.2 IPS |
|
|
Text Classification (HP)
|
35% |
34
308.3 IPS |
|
|
Text Classification (Q)
|
35% |
33
303.1 IPS |
|
|
Machine Translation (SP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (HP)
|
97% |
250
4.32 IPS |
|
|
Machine Translation (Q)
|
64% |
204
4.19 IPS |
