Xiaomi 2303ERA42L
Geekbench AI Score
480
Single Precision Score
465
Half Precision Score
879
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 08:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6781 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2303ERA42L |
| Model ID | Xiaomi 2303ERA42L |
| Motherboard | ocean |
| CPU Information | |
|---|---|
| Name | ARM MT6781 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
100% |
625
116.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
678
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1027
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1021
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1516
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
83% |
593
47.9 IPS |
|
|
Face Detection (SP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (HP)
|
100% |
639
7.60 IPS |
|
|
Face Detection (Q)
|
95% |
1276
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
882
6.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
809
6.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1371
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1724
2.24 IPS |
|
|
Style Transfer (HP)
|
89% |
1649
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3550
4.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
781
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.2 IPS |
|
|
Text Classification (HP)
|
100% |
259
346.1 IPS |
|
|
Text Classification (Q)
|
88% |
491
661.7 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (Q)
|
50% |
304
10.8 IPS |
