vivo PA2473
Geekbench AI Score
910
Single Precision Score
1096
Half Precision Score
1103
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | BlueSkyXN |
| Upload Date | August 16 2024 01:19 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo PA2473 |
| Model ID | vivo PA2473 |
| Motherboard | tb8796p1_64_sp |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
506
94.2 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.7 IPS |
|
|
Image Classification (Q)
|
97% |
706
131.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1300
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1047
1.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
1040
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (HP)
|
100% |
712
56.4 IPS |
|
|
Object Detection (Q)
|
92% |
702
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2415
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
2160
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1386
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1664
12.8 IPS |
|
|
Depth Estimation (Q)
|
72% |
1524
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3855
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
4962
6.38 IPS |
|
|
Style Transfer (Q)
|
98% |
4909
6.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
872
32.3 IPS |
|
|
Text Classification (SP)
|
100% |
381
508.6 IPS |
|
|
Text Classification (HP)
|
100% |
384
512.5 IPS |
|
|
Text Classification (Q)
|
91% |
606
815.0 IPS |
|
|
Machine Translation (SP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.76 IPS |
|
|
Machine Translation (Q)
|
57% |
468
11.4 IPS |
