Xiaomi 2306EPN60G
Geekbench AI Score
1139
Single Precision Score
1135
Half Precision Score
2292
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 02:02 PM |
| Views | 1 |
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 | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
504
93.8 IPS |
|
|
Image Classification (HP)
|
100% |
516
95.9 IPS |
|
|
Image Classification (Q)
|
100% |
1604
298.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
1860
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2134
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
4234
5.02 IPS |
|
|
Object Detection (SP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
83% |
1493
120.6 IPS |
|
|
Face Detection (SP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (Q)
|
95% |
3660
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2116
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2228
17.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3769
34.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4275
5.55 IPS |
|
|
Style Transfer (HP)
|
89% |
4346
5.64 IPS |
|
|
Style Transfer (Q)
|
98% |
9477
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1117
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2292
84.9 IPS |
|
|
Text Classification (SP)
|
100% |
663
885.0 IPS |
|
|
Text Classification (HP)
|
100% |
647
863.1 IPS |
|
|
Text Classification (Q)
|
88% |
1201
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
591
21.0 IPS |
