vivo PA2373
Geekbench AI Score
592
Single Precision Score
746
Half Precision Score
726
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 03:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo PA2373 |
| Model ID | vivo PA2373 |
| Motherboard | tb8798p1_64_wifi2 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 11.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
99% |
601
112.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
910
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
854
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
651
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
914
1.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
908
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (Q)
|
83% |
541
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1982
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
1814
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
974
7.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
1151
8.87 IPS |
|
|
Depth Estimation (Q)
|
62% |
923
8.74 IPS |
|
|
Style Transfer (SP)
|
100% |
2690
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3639
4.68 IPS |
|
|
Style Transfer (Q)
|
98% |
2683
3.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
508
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
151
202.0 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.1 IPS |
|
|
Text Classification (Q)
|
91% |
279
375.1 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.52 IPS |
|
|
Machine Translation (Q)
|
57% |
256
6.26 IPS |
