Xiaomi 23078PND5G
Geekbench AI Score
1631
Single Precision Score
1450
Half Precision Score
2447
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Papst |
| Upload Date | October 17 2024 02:54 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23078PND5G |
| Model ID | Xiaomi 23078PND5G |
| Motherboard | corot |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1133
210.7 IPS |
|
|
Image Classification (HP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (Q)
|
100% |
1976
367.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2155
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2494
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2240
2.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
5656
6.71 IPS |
|
|
Object Detection (SP)
|
98% |
1195
95.1 IPS |
|
|
Object Detection (HP)
|
98% |
1172
93.3 IPS |
|
|
Object Detection (Q)
|
83% |
1453
117.4 IPS |
|
|
Face Detection (SP)
|
100% |
2224
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (Q)
|
95% |
4008
47.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2280
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2258
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4161
38.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5634
7.31 IPS |
|
|
Style Transfer (HP)
|
89% |
5511
7.15 IPS |
|
|
Style Transfer (Q)
|
98% |
8315
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2357
87.4 IPS |
|
|
Text Classification (SP)
|
100% |
616
821.6 IPS |
|
|
Text Classification (HP)
|
99% |
219
292.4 IPS |
|
|
Text Classification (Q)
|
88% |
1106
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (Q)
|
50% |
610
21.6 IPS |
