Xiaomi 2306EPN60G
Geekbench AI Score
1222
Single Precision Score
1218
Half Precision Score
2308
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 07:04 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (Q)
|
100% |
1601
297.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1867
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2549
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2552
2.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
4252
5.04 IPS |
|
|
Object Detection (SP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
83% |
1469
118.6 IPS |
|
|
Face Detection (SP)
|
100% |
1706
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1716
20.4 IPS |
|
|
Face Detection (Q)
|
95% |
3779
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2350
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2326
17.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3808
34.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4706
6.11 IPS |
|
|
Style Transfer (HP)
|
89% |
4701
6.10 IPS |
|
|
Style Transfer (Q)
|
98% |
9547
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1258
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2294
85.0 IPS |
|
|
Text Classification (SP)
|
100% |
653
871.4 IPS |
|
|
Text Classification (HP)
|
100% |
654
872.5 IPS |
|
|
Text Classification (Q)
|
88% |
1198
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
610
21.6 IPS |
