Xiaomi 13T Xiaomi 2306EPN60G
Geekbench AI Score
513
Single Precision Score
689
Half Precision Score
552
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | gbirkin |
| Upload Date | June 30 2025 11:03 PM |
| Views | 6 |
| Notes | Xiaomi 2306EPN60G (Xiaomi 13T Global) |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.0 IPS |
|
|
Image Classification (Q)
|
97% |
227
42.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1110
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3732
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
7263
8.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
7269
8.52 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (HP)
|
99% |
256
20.3 IPS |
|
|
Object Detection (Q)
|
83% |
280
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
1304
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
96% |
1197
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1815
14.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2689
20.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1979
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5017
6.45 IPS |
|
|
Style Transfer (HP)
|
100% |
12190
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
10047
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
596
22.1 IPS |
|
|
Text Classification (SP)
|
35% |
8
70.9 IPS |
|
|
Text Classification (HP)
|
29% |
5
87.9 IPS |
|
|
Text Classification (Q)
|
32% |
7
87.7 IPS |
|
|
Machine Translation (SP)
|
100% |
153
2.63 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.60 IPS |
|
|
Machine Translation (Q)
|
43% |
52
3.00 IPS |
