vivo V2515
Geekbench AI Score
1597
Single Precision Score
2050
Half Precision Score
1771
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 11:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2515 |
| Model ID | vivo V2515 |
| 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% |
695
129.2 IPS |
|
|
Image Classification (HP)
|
100% |
964
179.4 IPS |
|
|
Image Classification (Q)
|
97% |
940
175.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3130
50.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2769
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12159
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19353
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
19028
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (HP)
|
99% |
973
77.2 IPS |
|
|
Object Detection (Q)
|
83% |
815
65.8 IPS |
|
|
Face Detection (SP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
4386
52.1 IPS |
|
|
Face Detection (Q)
|
96% |
4551
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4852
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5973
46.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4945
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17018
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27169
34.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28707
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2520
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2898
107.4 IPS |
|
|
Text Classification (SP)
|
35% |
40
363.7 IPS |
|
|
Text Classification (HP)
|
29% |
24
414.1 IPS |
|
|
Text Classification (Q)
|
32% |
32
414.6 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
43% |
126
7.35 IPS |
