Xiaomi 2306EPN60G
Geekbench AI Score
394
Single Precision Score
472
Half Precision Score
475
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 07:18 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
284
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
99% |
287
53.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
476
7.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
397
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
550
0.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
546
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
83% |
223
18.1 IPS |
|
|
Face Detection (SP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (HP)
|
100% |
623
7.40 IPS |
|
|
Face Detection (Q)
|
97% |
556
6.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
617
4.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
729
5.61 IPS |
|
|
Depth Estimation (Q)
|
62% |
587
5.56 IPS |
|
|
Style Transfer (SP)
|
100% |
1573
2.02 IPS |
|
|
Style Transfer (HP)
|
100% |
2081
2.68 IPS |
|
|
Style Transfer (Q)
|
98% |
2077
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
362
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
225
299.7 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.6 IPS |
|
|
Text Classification (Q)
|
91% |
453
608.5 IPS |
|
|
Machine Translation (SP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (HP)
|
100% |
364
6.26 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.83 IPS |
