Xiaomi 23078PND5G
Geekbench AI Score
1576
Single Precision Score
1378
Half Precision Score
2152
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Papst |
| Upload Date | October 17 2024 08:42 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% |
1190
221.3 IPS |
|
|
Image Classification (HP)
|
100% |
923
171.6 IPS |
|
|
Image Classification (Q)
|
100% |
1975
367.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1638
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2223
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2281
2.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
5510
6.53 IPS |
|
|
Object Detection (SP)
|
98% |
1027
81.7 IPS |
|
|
Object Detection (HP)
|
98% |
1195
95.1 IPS |
|
|
Object Detection (Q)
|
83% |
1682
135.9 IPS |
|
|
Face Detection (SP)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
2520
29.9 IPS |
|
|
Face Detection (Q)
|
95% |
3139
37.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2352
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2251
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4034
36.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5203
6.75 IPS |
|
|
Style Transfer (HP)
|
89% |
5397
7.01 IPS |
|
|
Style Transfer (Q)
|
98% |
11119
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2347
87.0 IPS |
|
|
Text Classification (SP)
|
100% |
595
794.8 IPS |
|
|
Text Classification (HP)
|
99% |
212
283.2 IPS |
|
|
Text Classification (Q)
|
88% |
352
475.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
613
21.8 IPS |
