vivo V2334
Geekbench AI Score
848
Single Precision Score
835
Half Precision Score
1657
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 08:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
658
122.5 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
100% |
1213
225.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1345
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1313
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1269
1.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
3191
3.78 IPS |
|
|
Object Detection (SP)
|
98% |
608
48.4 IPS |
|
|
Object Detection (HP)
|
98% |
601
47.8 IPS |
|
|
Object Detection (Q)
|
83% |
1092
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
1039
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
2489
29.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1172
9.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1130
8.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
2540
23.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3105
4.03 IPS |
|
|
Style Transfer (HP)
|
89% |
3130
4.06 IPS |
|
|
Style Transfer (Q)
|
98% |
6984
9.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1716
63.6 IPS |
|
|
Text Classification (SP)
|
100% |
348
464.7 IPS |
|
|
Text Classification (HP)
|
99% |
354
471.9 IPS |
|
|
Text Classification (Q)
|
88% |
857
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
425
15.1 IPS |
