vivo V2318
Geekbench AI Score
778
Single Precision Score
771
Half Precision Score
1697
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ista |
| Upload Date | July 11 2025 04:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
749
139.2 IPS |
|
|
Image Classification (HP)
|
100% |
731
135.9 IPS |
|
|
Image Classification (Q)
|
100% |
1928
358.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1993
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1898
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1896
2.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
5391
6.39 IPS |
|
|
Object Detection (SP)
|
98% |
665
52.9 IPS |
|
|
Object Detection (HP)
|
98% |
656
52.2 IPS |
|
|
Object Detection (Q)
|
83% |
1640
132.5 IPS |
|
|
Face Detection (SP)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
4106
49.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
872
6.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
871
6.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
2085
19.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2205
2.86 IPS |
|
|
Style Transfer (HP)
|
89% |
2165
2.81 IPS |
|
|
Style Transfer (Q)
|
98% |
5236
6.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1400
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.6 IPS |
|
|
Text Classification (HP)
|
99% |
245
327.7 IPS |
|
|
Text Classification (Q)
|
88% |
402
541.7 IPS |
|
|
Machine Translation (SP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
50% |
232
8.24 IPS |
