vivo V2507A
Geekbench AI Score
1278
Single Precision Score
1643
Half Precision Score
1415
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 04:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
486
90.4 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (Q)
|
97% |
770
143.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2739
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2452
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9693
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16452
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15363
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (HP)
|
99% |
725
57.5 IPS |
|
|
Object Detection (Q)
|
83% |
810
65.4 IPS |
|
|
Face Detection (SP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (Q)
|
96% |
3206
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3792
29.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5446
42.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4442
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14729
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24632
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24071
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2265
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2243
83.1 IPS |
|
|
Text Classification (SP)
|
35% |
22
195.8 IPS |
|
|
Text Classification (HP)
|
29% |
13
229.4 IPS |
|
|
Text Classification (Q)
|
32% |
15
198.4 IPS |
|
|
Machine Translation (SP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.52 IPS |
|
|
Machine Translation (Q)
|
43% |
119
6.92 IPS |
