Xiaomi 2306EPN60G
Geekbench AI Score
337
Single Precision Score
334
Half Precision Score
630
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HWFF |
| Upload Date | May 11 2025 04:54 PM |
| Views | 6 |
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% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (Q)
|
100% |
470
87.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
515
8.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
1194
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
147
11.6 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.6 IPS |
|
|
Object Detection (Q)
|
83% |
406
32.8 IPS |
|
|
Face Detection (SP)
|
100% |
491
5.83 IPS |
|
|
Face Detection (HP)
|
100% |
476
5.65 IPS |
|
|
Face Detection (Q)
|
95% |
1042
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
637
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
637
4.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1050
9.62 IPS |
|
|
Style Transfer (SP)
|
89% |
1383
1.80 IPS |
|
|
Style Transfer (HP)
|
89% |
1374
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
2777
3.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
353
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
355
13.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
651
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.8 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.1 IPS |
|
|
Text Classification (Q)
|
88% |
320
431.3 IPS |
|
|
Machine Translation (SP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.40 IPS |
|
|
Machine Translation (Q)
|
50% |
133
4.72 IPS |
