vivo V2337A
Geekbench AI Score
2678
Single Precision Score
2701
Half Precision Score
4445
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 09 2026 08:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.9 IPS |
|
|
Image Classification (Q)
|
100% |
3098
576.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4216
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4182
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4079
4.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
9978
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
2177
173.3 IPS |
|
|
Object Detection (HP)
|
98% |
2156
171.6 IPS |
|
|
Object Detection (Q)
|
83% |
3458
279.3 IPS |
|
|
Face Detection (SP)
|
100% |
3777
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
3752
44.6 IPS |
|
|
Face Detection (Q)
|
95% |
7748
92.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3790
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3929
30.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7256
66.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9679
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9858
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20646
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5463
202.4 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
972
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1401
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1625
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
753
26.7 IPS |
