Xiaomi 13T Xiaomi 2306EPN60G
Geekbench AI Score
1166
Single Precision Score
1129
Half Precision Score
2311
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | gbirkin |
| Upload Date | June 30 2025 10:54 PM |
| Views | 6 |
| Notes | Xiaomi 2306EPN60G (Xiaomi 13T Global) |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2306EPN60G |
| Model ID | Xiaomi 2306EPN60G |
| Motherboard | aristotle |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
555
103.2 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.7 IPS |
|
|
Image Classification (Q)
|
100% |
1710
317.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1979
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2154
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2137
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
4431
5.26 IPS |
|
|
Object Detection (SP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (Q)
|
83% |
1536
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (Q)
|
95% |
3920
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2280
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1990
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3698
33.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4223
5.48 IPS |
|
|
Style Transfer (HP)
|
89% |
4216
5.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9429
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2248
83.3 IPS |
|
|
Text Classification (SP)
|
100% |
641
856.1 IPS |
|
|
Text Classification (HP)
|
100% |
623
831.9 IPS |
|
|
Text Classification (Q)
|
88% |
1124
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
548
19.4 IPS |
