vivo V2464A
Geekbench AI Score
887
Single Precision Score
1461
Half Precision Score
1116
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 27 2026 05:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2464A |
| Model ID | vivo V2464A |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 3 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
676
125.8 IPS |
|
|
Image Classification (HP)
|
100% |
1117
207.7 IPS |
|
|
Image Classification (Q)
|
100% |
898
167.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1522
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3880
4.53 IPS |
|
|
Pose Estimation (HP)
|
99% |
7403
8.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
7209
8.45 IPS |
|
|
Object Detection (SP)
|
100% |
567
44.9 IPS |
|
|
Object Detection (HP)
|
99% |
829
65.7 IPS |
|
|
Object Detection (Q)
|
87% |
791
63.5 IPS |
|
|
Face Detection (SP)
|
100% |
1519
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
1968
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2374
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4348
33.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
3217
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4943
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
9791
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9540
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1633
60.5 IPS |
|
|
Text Classification (SP)
|
35% |
33
322.9 IPS |
|
|
Text Classification (HP)
|
35% |
58
525.6 IPS |
|
|
Text Classification (Q)
|
33% |
43
519.6 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.90 IPS |
|
|
Machine Translation (HP)
|
97% |
344
5.94 IPS |
|
|
Machine Translation (Q)
|
43% |
91
5.15 IPS |
