Xiaomi 2306EPN60G
Geekbench AI Score
1202
Single Precision Score
1198
Half Precision Score
2277
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HWFF |
| Upload Date | January 14 2025 07:21 PM |
| Views | 4 |
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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (Q)
|
100% |
1641
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1880
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2531
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2543
2.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
4266
5.06 IPS |
|
|
Object Detection (SP)
|
100% |
520
41.3 IPS |
|
|
Object Detection (HP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (Q)
|
83% |
1427
115.3 IPS |
|
|
Face Detection (SP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (Q)
|
95% |
3753
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2295
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2296
17.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3720
34.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4707
6.11 IPS |
|
|
Style Transfer (HP)
|
89% |
4696
6.10 IPS |
|
|
Style Transfer (Q)
|
98% |
9455
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1231
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1239
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2279
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
642
857.3 IPS |
|
|
Text Classification (HP)
|
100% |
628
838.1 IPS |
|
|
Text Classification (Q)
|
88% |
1132
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
50% |
587
20.8 IPS |
