Xiaomi 2306EPN60G
Geekbench AI Score
1149
Single Precision Score
1127
Half Precision Score
2070
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cifra45 |
| Upload Date | January 28 2025 02:35 PM |
| Views | 9 |
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% |
586
109.0 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.4 IPS |
|
|
Image Classification (Q)
|
100% |
1726
321.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2021
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2700
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2179
2.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
3652
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (HP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
83% |
1320
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
3159
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2087
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2084
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3254
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4123
5.35 IPS |
|
|
Style Transfer (HP)
|
89% |
4133
5.37 IPS |
|
|
Style Transfer (Q)
|
98% |
8323
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1087
40.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2007
74.4 IPS |
|
|
Text Classification (SP)
|
100% |
573
764.2 IPS |
|
|
Text Classification (HP)
|
100% |
559
746.7 IPS |
|
|
Text Classification (Q)
|
88% |
1032
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
856
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
50% |
487
17.3 IPS |
