vivo V2334
Geekbench AI Score
815
Single Precision Score
808
Half Precision Score
1535
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 02:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2334 |
| Model ID | vivo V2334 |
| Motherboard | k6886v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
583
108.4 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.4 IPS |
|
|
Image Classification (Q)
|
100% |
1038
192.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1081
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1223
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1187
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3025
3.59 IPS |
|
|
Object Detection (SP)
|
98% |
586
46.6 IPS |
|
|
Object Detection (HP)
|
98% |
590
46.9 IPS |
|
|
Object Detection (Q)
|
83% |
993
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
2322
27.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1139
8.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
1081
8.36 IPS |
|
|
Depth Estimation (Q)
|
64% |
2390
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2984
3.87 IPS |
|
|
Style Transfer (HP)
|
89% |
2951
3.83 IPS |
|
|
Style Transfer (Q)
|
98% |
6486
8.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1548
57.4 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.2 IPS |
|
|
Text Classification (HP)
|
99% |
320
426.7 IPS |
|
|
Text Classification (Q)
|
88% |
857
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (Q)
|
50% |
452
16.1 IPS |
