vivo PA2473
Geekbench AI Score
2222
Single Precision Score
2199
Half Precision Score
3326
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | BlueSkyXN |
| Upload Date | August 16 2024 01:13 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
1692
314.6 IPS |
|
|
Image Classification (Q)
|
100% |
2482
461.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2630
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3178
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3163
3.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
6516
7.73 IPS |
|
|
Object Detection (SP)
|
98% |
1572
125.1 IPS |
|
|
Object Detection (HP)
|
98% |
1535
122.1 IPS |
|
|
Object Detection (Q)
|
87% |
2364
189.8 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (Q)
|
95% |
5325
63.6 IPS |
|
|
Depth Estimation (SP)
|
98% |
3559
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3538
27.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
6250
50.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7408
9.62 IPS |
|
|
Style Transfer (HP)
|
89% |
7234
9.39 IPS |
|
|
Style Transfer (Q)
|
98% |
14063
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1645
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1645
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3483
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
779
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1280
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (Q)
|
50% |
791
28.1 IPS |
