vivo V2507A
Geekbench AI Score
1464
Single Precision Score
9763
Half Precision Score
13095
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 04:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2507A |
| Model ID | vivo V2507A |
| 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 @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1196
222.4 IPS |
|
|
Image Classification (HP)
|
100% |
5662
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
13989
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
796
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4825
78.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2103
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10512
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21738
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88157
103.3 IPS |
|
|
Object Detection (SP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (HP)
|
100% |
5826
462.1 IPS |
|
|
Object Detection (Q)
|
86% |
7208
579.8 IPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
15216
180.8 IPS |
|
|
Face Detection (Q)
|
97% |
15409
183.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1447
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22544
173.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
39535
375.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4015
5.16 IPS |
|
|
Style Transfer (HP)
|
100% |
68327
87.8 IPS |
|
|
Style Transfer (Q)
|
98% |
239139
308.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2939
108.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13180
486.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
40329
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
143
191.2 IPS |
|
|
Text Classification (HP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (Q)
|
93% |
2607
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (HP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (Q)
|
60% |
518
11.7 IPS |
