Xiaomi 2306EPN60G
Geekbench AI Score
433
Single Precision Score
529
Half Precision Score
526
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HWFF |
| Upload Date | May 11 2025 05:05 PM |
| Views | 6 |
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% |
303
56.4 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (Q)
|
99% |
373
69.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
459
7.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
494
8.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
404
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
557
0.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
550
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
83% |
291
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
938
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
628
4.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
748
5.77 IPS |
|
|
Depth Estimation (Q)
|
62% |
605
5.73 IPS |
|
|
Style Transfer (SP)
|
100% |
1610
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
2112
2.71 IPS |
|
|
Style Transfer (Q)
|
98% |
2089
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
394
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
373
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
221
295.6 IPS |
|
|
Text Classification (HP)
|
100% |
226
301.1 IPS |
|
|
Text Classification (Q)
|
91% |
451
606.6 IPS |
|
|
Machine Translation (SP)
|
100% |
363
6.26 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.33 IPS |
|
|
Machine Translation (Q)
|
57% |
277
6.78 IPS |
