vivo V2334
Geekbench AI Score
313
Single Precision Score
1393
Half Precision Score
2284
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 08:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2334 |
| Model ID | vivo V2334 |
| Motherboard | k6886v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
298
55.4 IPS |
|
|
Image Classification (HP)
|
100% |
1421
264.2 IPS |
|
|
Image Classification (Q)
|
99% |
3993
744.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1106
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2006
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
6314
7.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
25420
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (Q)
|
86% |
2120
170.5 IPS |
|
|
Face Detection (SP)
|
28% |
27
5.03 IPS |
|
|
Face Detection (HP)
|
100% |
3417
40.6 IPS |
|
|
Face Detection (Q)
|
97% |
6630
79.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
511
3.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
6559
50.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
13790
130.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1046
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
451
0.58 IPS |
|
|
Style Transfer (Q)
|
30% |
360
5.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
739
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3798
140.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
2708
394.4 IPS |
|
|
Text Classification (SP)
|
100% |
103
137.3 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.0 IPS |
|
|
Text Classification (Q)
|
93% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
229
3.94 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.28 IPS |
|
|
Machine Translation (Q)
|
60% |
241
5.42 IPS |
