vivo iPA2375
Geekbench AI Score
1903
Single Precision Score
1855
Half Precision Score
2972
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | March 02 2026 04:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1538
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
1440
267.9 IPS |
|
|
Image Classification (Q)
|
100% |
2306
428.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2555
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2970
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2976
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
6423
7.62 IPS |
|
|
Object Detection (SP)
|
98% |
1436
114.3 IPS |
|
|
Object Detection (HP)
|
98% |
1439
114.5 IPS |
|
|
Object Detection (Q)
|
83% |
2090
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
5005
59.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3298
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3275
25.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5214
47.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7121
9.24 IPS |
|
|
Style Transfer (HP)
|
89% |
7119
9.24 IPS |
|
|
Style Transfer (Q)
|
98% |
13956
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1206
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3042
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
622
830.0 IPS |
|
|
Text Classification (HP)
|
99% |
629
839.9 IPS |
|
|
Text Classification (Q)
|
88% |
1061
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
50% |
579
20.6 IPS |
