vivo V2405A
Geekbench AI Score
1168
Single Precision Score
1496
Half Precision Score
1281
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | bacoo |
| Upload Date | July 08 2025 09:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2405A |
| Model ID | vivo V2405A |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.1 IPS |
|
|
Image Classification (Q)
|
97% |
583
108.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2598
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2571
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7619
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
12851
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12541
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (HP)
|
99% |
709
56.3 IPS |
|
|
Object Detection (Q)
|
83% |
739
59.7 IPS |
|
|
Face Detection (SP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (Q)
|
96% |
3362
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3339
25.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5036
38.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3868
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12136
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22095
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21953
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1971
73.0 IPS |
|
|
Text Classification (SP)
|
35% |
19
171.0 IPS |
|
|
Text Classification (HP)
|
29% |
11
196.4 IPS |
|
|
Text Classification (Q)
|
32% |
15
197.7 IPS |
|
|
Machine Translation (SP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (Q)
|
43% |
102
5.96 IPS |
