vivo V2318
Geekbench AI Score
766
Single Precision Score
1235
Half Precision Score
990
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 12:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2318 |
| Model ID | vivo V2318 |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (HP)
|
100% |
820
152.4 IPS |
|
|
Image Classification (Q)
|
99% |
723
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
970
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3227
3.77 IPS |
|
|
Pose Estimation (HP)
|
99% |
6251
7.31 IPS |
|
|
Pose Estimation (Q)
|
97% |
6082
7.12 IPS |
|
|
Object Detection (SP)
|
100% |
529
41.9 IPS |
|
|
Object Detection (HP)
|
99% |
832
66.0 IPS |
|
|
Object Detection (Q)
|
82% |
772
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
1301
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
2439
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
1863
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2021
15.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3813
29.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2909
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4140
5.32 IPS |
|
|
Style Transfer (HP)
|
100% |
8719
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9059
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1245
46.1 IPS |
|
|
Text Classification (SP)
|
35% |
29
282.3 IPS |
|
|
Text Classification (HP)
|
35% |
34
308.1 IPS |
|
|
Text Classification (Q)
|
35% |
25
242.6 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.16 IPS |
|
|
Machine Translation (HP)
|
97% |
321
5.55 IPS |
|
|
Machine Translation (Q)
|
49% |
181
6.78 IPS |
