Xiaomi 2306EPN60G
Geekbench AI Score
1135
Single Precision Score
1132
Half Precision Score
2062
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cifra45 |
| Upload Date | January 28 2025 03:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
583
108.5 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (Q)
|
100% |
1684
313.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2021
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2511
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2260
2.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
3651
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
83% |
1286
103.9 IPS |
|
|
Face Detection (SP)
|
100% |
1513
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1637
19.4 IPS |
|
|
Face Detection (Q)
|
95% |
3144
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2080
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2091
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3294
30.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4036
5.24 IPS |
|
|
Style Transfer (HP)
|
89% |
4098
5.32 IPS |
|
|
Style Transfer (Q)
|
98% |
8329
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1101
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2005
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.7 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.5 IPS |
|
|
Text Classification (Q)
|
88% |
1035
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
50% |
487
17.3 IPS |
