Xiaomi 2306EPN60G
Geekbench AI Score
1053
Single Precision Score
1060
Half Precision Score
1992
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | iClondike |
| Upload Date | January 28 2025 03:19 PM |
| Views | 4 |
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% |
436
81.1 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
100% |
1455
270.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
567
9.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
549
8.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1618
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2086
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2139
2.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
3649
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
83% |
1311
105.9 IPS |
|
|
Face Detection (SP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1520
18.1 IPS |
|
|
Face Detection (Q)
|
95% |
3188
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2083
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2108
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3289
30.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4122
5.35 IPS |
|
|
Style Transfer (HP)
|
89% |
4110
5.34 IPS |
|
|
Style Transfer (Q)
|
98% |
8339
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1087
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1993
73.8 IPS |
|
|
Text Classification (SP)
|
100% |
568
758.2 IPS |
|
|
Text Classification (HP)
|
100% |
566
755.3 IPS |
|
|
Text Classification (Q)
|
88% |
1031
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
827
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
50% |
488
17.3 IPS |
