vivo PA2473
Geekbench AI Score
2142
Single Precision Score
2146
Half Precision Score
3236
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 03:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 15.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
1667
310.0 IPS |
|
|
Image Classification (Q)
|
100% |
2435
452.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2629
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3092
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3073
3.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
6332
7.51 IPS |
|
|
Object Detection (SP)
|
98% |
1512
120.3 IPS |
|
|
Object Detection (HP)
|
98% |
1506
119.8 IPS |
|
|
Object Detection (Q)
|
83% |
2164
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
2883
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (Q)
|
95% |
5247
62.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3455
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3433
26.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5560
50.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7179
9.32 IPS |
|
|
Style Transfer (HP)
|
89% |
7034
9.13 IPS |
|
|
Style Transfer (Q)
|
98% |
14173
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3525
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
1356
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1691
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (Q)
|
50% |
727
25.8 IPS |
