vivo iPA2375
Geekbench AI Score
1189
Single Precision Score
1545
Half Precision Score
1235
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | March 02 2026 04:40 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo iPA2375 |
| Model ID | vivo iPA2375 |
| 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 @ 3.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
635
118.2 IPS |
|
|
Image Classification (HP)
|
100% |
575
106.9 IPS |
|
|
Image Classification (Q)
|
97% |
457
85.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2178
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6266
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
13095
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12566
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
99% |
919
72.9 IPS |
|
|
Object Detection (Q)
|
83% |
1040
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (Q)
|
96% |
2882
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3692
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6407
49.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4909
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8154
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19968
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20004
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2154
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2163
80.2 IPS |
|
|
Text Classification (SP)
|
35% |
18
164.7 IPS |
|
|
Text Classification (HP)
|
35% |
16
147.7 IPS |
|
|
Text Classification (Q)
|
32% |
11
145.7 IPS |
|
|
Machine Translation (SP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (Q)
|
43% |
95
5.53 IPS |
