vivo V2309
Geekbench AI Score
938
Single Precision Score
1195
Half Precision Score
1083
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 05:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.9 IPS |
|
|
Image Classification (Q)
|
97% |
580
108.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1398
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5949
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
9377
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9222
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (HP)
|
99% |
612
48.6 IPS |
|
|
Object Detection (Q)
|
83% |
621
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (Q)
|
96% |
2526
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2621
20.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4309
33.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3148
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9327
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17568
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17412
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1496
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2092
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2077
77.0 IPS |
|
|
Text Classification (SP)
|
35% |
14
128.3 IPS |
|
|
Text Classification (HP)
|
29% |
8
135.0 IPS |
|
|
Text Classification (Q)
|
29% |
15
250.9 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (Q)
|
43% |
111
6.43 IPS |
