vivo V2509A
Geekbench AI Score
1147
Single Precision Score
1706
Half Precision Score
1455
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | October 18 2025 04:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2509A |
| Model ID | vivo V2509A |
| Motherboard | k6993v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3468 revision 0 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores @ 2.70 GHz |
| Cluster 2 | 3 Cores @ 3.50 GHz |
| Cluster 3 | 1 Core @ 4.21 GHz |
| Memory Information | |
|---|---|
| Size | 15.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
768
142.8 IPS |
|
|
Image Classification (Q)
|
97% |
723
134.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2273
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6474
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
12154
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11956
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (HP)
|
99% |
793
62.9 IPS |
|
|
Object Detection (Q)
|
83% |
768
62.0 IPS |
|
|
Face Detection (SP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (Q)
|
96% |
3716
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2988
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5210
40.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3915
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10681
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18899
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18410
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1859
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2616
96.9 IPS |
|
|
Text Classification (SP)
|
35% |
29
265.6 IPS |
|
|
Text Classification (HP)
|
29% |
24
405.9 IPS |
|
|
Text Classification (Q)
|
32% |
31
401.5 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (Q)
|
43% |
130
7.55 IPS |
