Xiaomi 2406APNFAG
Geekbench AI Score
486
Single Precision Score
570
Half Precision Score
564
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 11:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2406APNFAG |
| Model ID | Xiaomi 2406APNFAG |
| Motherboard | degas |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
310
57.7 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (Q)
|
99% |
324
60.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
721
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
516
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
513
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
83% |
331
26.8 IPS |
|
|
Face Detection (SP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1308
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
1234
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
689
5.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
826
6.37 IPS |
|
|
Depth Estimation (Q)
|
62% |
668
6.32 IPS |
|
|
Style Transfer (SP)
|
100% |
1953
2.51 IPS |
|
|
Style Transfer (HP)
|
100% |
2396
3.08 IPS |
|
|
Style Transfer (Q)
|
98% |
2383
3.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
420
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
419
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
205
273.5 IPS |
|
|
Text Classification (HP)
|
100% |
205
273.8 IPS |
|
|
Text Classification (Q)
|
91% |
354
475.8 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.83 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.90 IPS |
