vivo V2337A
Geekbench AI Score
2275
Single Precision Score
2277
Half Precision Score
3472
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 27 2026 04:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2337A |
| Model ID | vivo V2337A |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1557
289.5 IPS |
|
|
Image Classification (HP)
|
100% |
1603
298.1 IPS |
|
|
Image Classification (Q)
|
100% |
2636
490.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3066
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3902
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3898
4.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
8952
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1734
138.0 IPS |
|
|
Object Detection (HP)
|
98% |
1748
139.1 IPS |
|
|
Object Detection (Q)
|
83% |
2456
198.4 IPS |
|
|
Face Detection (SP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (Q)
|
95% |
5892
70.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3727
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3706
28.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6038
55.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9215
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9210
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18244
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3868
143.3 IPS |
|
|
Text Classification (SP)
|
100% |
656
875.7 IPS |
|
|
Text Classification (HP)
|
99% |
666
889.4 IPS |
|
|
Text Classification (Q)
|
88% |
986
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
579
20.5 IPS |
