Xiaomi 2306EPN60G
Geekbench AI Score
379
Single Precision Score
420
Half Precision Score
446
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 02:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.9 IPS |
|
|
Image Classification (Q)
|
99% |
363
67.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
484
7.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
479
7.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
397
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
516
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
511
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
83% |
144
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
625
7.43 IPS |
|
|
Face Detection (HP)
|
100% |
597
7.10 IPS |
|
|
Face Detection (Q)
|
97% |
581
6.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
584
4.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
709
5.46 IPS |
|
|
Depth Estimation (Q)
|
62% |
558
5.28 IPS |
|
|
Style Transfer (SP)
|
100% |
1484
1.91 IPS |
|
|
Style Transfer (HP)
|
100% |
1988
2.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1945
2.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
345
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.1 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.6 IPS |
|
|
Text Classification (Q)
|
91% |
399
536.8 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.92 IPS |
