vivo V2515
Geekbench AI Score
1439
Single Precision Score
1883
Half Precision Score
1554
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 15 2025 08:43 AM |
| Views | 9 |
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 | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.8 IPS |
|
|
Image Classification (Q)
|
97% |
705
131.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2688
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11231
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19535
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19192
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (HP)
|
99% |
782
62.0 IPS |
|
|
Object Detection (Q)
|
83% |
779
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3917
46.5 IPS |
|
|
Face Detection (Q)
|
96% |
3931
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4633
35.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5798
44.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4368
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17128
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27905
35.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23977
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1891
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3078
113.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2412
89.4 IPS |
|
|
Text Classification (SP)
|
35% |
30
268.4 IPS |
|
|
Text Classification (HP)
|
29% |
22
384.7 IPS |
|
|
Text Classification (Q)
|
32% |
25
325.7 IPS |
|
|
Machine Translation (SP)
|
100% |
418
7.19 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (Q)
|
43% |
117
6.82 IPS |
