vivo V2338
Geekbench AI Score
681
Single Precision Score
692
Half Precision Score
1287
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 05:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2338 |
| Model ID | vivo V2338 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
100% |
1314
244.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
485
7.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1523
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1868
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1949
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
3463
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
83% |
1267
102.4 IPS |
|
|
Face Detection (SP)
|
100% |
997
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
3097
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1482
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1526
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3120
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3231
4.19 IPS |
|
|
Style Transfer (HP)
|
89% |
3236
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
5698
7.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
768
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
769
28.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
623
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
155
207.2 IPS |
|
|
Text Classification (HP)
|
100% |
151
202.1 IPS |
|
|
Text Classification (Q)
|
88% |
247
333.5 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
50% |
168
5.97 IPS |
