Xiaomi 2109119BC
Geekbench AI Score
322
Single Precision Score
316
Half Precision Score
688
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 17 2025 03:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
164
30.4 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (Q)
|
100% |
481
89.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
495
8.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
656
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1175
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
163
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
474
38.3 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (Q)
|
95% |
873
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
485
3.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
1040
9.52 IPS |
|
|
Style Transfer (SP)
|
89% |
1168
1.52 IPS |
|
|
Style Transfer (HP)
|
89% |
1160
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
2455
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
658
24.4 IPS |
|
|
Text Classification (SP)
|
100% |
197
263.0 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.1 IPS |
|
|
Text Classification (Q)
|
88% |
453
611.1 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (Q)
|
50% |
273
9.70 IPS |
