Xiaomi 2107119DC
Geekbench AI Score
770
Single Precision Score
770
Half Precision Score
1540
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | PaperKing13 |
| Upload Date | August 15 2024 11:08 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM lisa |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2107119DC |
| Model ID | Xiaomi 2107119DC |
| Motherboard | lisa |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM lisa |
| 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 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
386
71.9 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (Q)
|
100% |
1192
221.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
465
7.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1388
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1740
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1701
1.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
2604
3.09 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (Q)
|
87% |
1054
84.7 IPS |
|
|
Face Detection (SP)
|
100% |
973
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
2493
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1369
10.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
1358
10.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
2750
22.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2857
3.71 IPS |
|
|
Style Transfer (HP)
|
89% |
2865
3.72 IPS |
|
|
Style Transfer (Q)
|
98% |
6100
7.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
757
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1472
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
384
513.1 IPS |
|
|
Text Classification (HP)
|
100% |
382
509.3 IPS |
|
|
Text Classification (Q)
|
88% |
665
897.2 IPS |
|
|
Machine Translation (SP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
406
14.4 IPS |
