vivo V2309
Geekbench AI Score
978
Single Precision Score
5241
Half Precision Score
4936
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 05:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2309 |
| Model ID | vivo V2309 |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 14.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (HP)
|
100% |
4571
850.0 IPS |
|
|
Image Classification (Q)
|
99% |
9427
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4342
70.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1854
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8235
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
18531
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
75059
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
564
44.8 IPS |
|
|
Object Detection (HP)
|
100% |
4808
381.4 IPS |
|
|
Object Detection (Q)
|
86% |
5501
442.4 IPS |
|
|
Face Detection (SP)
|
100% |
2845
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
12221
145.2 IPS |
|
|
Face Detection (Q)
|
97% |
11573
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
894
6.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
19611
151.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
33692
319.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2455
3.16 IPS |
|
|
Style Transfer (HP)
|
100% |
659
0.85 IPS |
|
|
Style Transfer (Q)
|
30% |
399
6.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11134
411.1 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8317
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
91
122.0 IPS |
|
|
Text Classification (HP)
|
97% |
2236
3.00 KIPS |
|
|
Text Classification (Q)
|
73% |
2122
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (Q)
|
60% |
434
9.77 IPS |
