vivo V2337A
Geekbench AI Score
807
Single Precision Score
1226
Half Precision Score
1122
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 12:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
663
123.3 IPS |
|
|
Image Classification (HP)
|
100% |
770
143.2 IPS |
|
|
Image Classification (Q)
|
96% |
732
136.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1112
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1949
2.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
1683
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.0 IPS |
|
|
Object Detection (HP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (Q)
|
87% |
710
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
3114
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1330
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2412
18.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2048
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4237
5.45 IPS |
|
|
Style Transfer (HP)
|
100% |
6996
8.99 IPS |
|
|
Style Transfer (Q)
|
98% |
6844
8.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
968
35.9 IPS |
|
|
Text Classification (SP)
|
100% |
180
239.7 IPS |
|
|
Text Classification (HP)
|
100% |
247
330.2 IPS |
|
|
Text Classification (Q)
|
91% |
293
393.3 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (HP)
|
100% |
421
7.25 IPS |
|
|
Machine Translation (Q)
|
57% |
263
6.43 IPS |
