Xiaomi 2306EPN60G
Geekbench AI Score
429
Single Precision Score
535
Half Precision Score
531
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HWFF |
| Upload Date | January 14 2025 08:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.1 IPS |
|
|
Image Classification (Q)
|
99% |
493
91.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
558
9.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
516
8.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
401
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
554
0.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
548
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
83% |
283
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
948
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
621
4.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
740
5.70 IPS |
|
|
Depth Estimation (Q)
|
62% |
602
5.70 IPS |
|
|
Style Transfer (SP)
|
100% |
1576
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2115
2.72 IPS |
|
|
Style Transfer (Q)
|
98% |
2091
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
373
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.1 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.5 IPS |
|
|
Text Classification (Q)
|
91% |
400
537.5 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.66 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
57% |
254
6.21 IPS |
