vivo V2337A
Geekbench AI Score
2438
Single Precision Score
2399
Half Precision Score
3709
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 12:13 PM |
| Views | 5 |
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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
1678
312.1 IPS |
|
|
Image Classification (Q)
|
100% |
2749
511.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2193
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3224
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3796
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4038
4.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
9385
11.1 IPS |
|
|
Object Detection (SP)
|
98% |
1756
139.7 IPS |
|
|
Object Detection (HP)
|
98% |
1746
138.9 IPS |
|
|
Object Detection (Q)
|
83% |
2470
199.5 IPS |
|
|
Face Detection (SP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (Q)
|
95% |
5885
70.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3799
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3883
30.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5986
54.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9184
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9147
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18187
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1956
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4434
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1230
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
687
24.4 IPS |
