vivo V2309A
Geekbench AI Score
2209
Single Precision Score
2207
Half Precision Score
3150
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 10:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2309A |
| Model ID | vivo V2309A |
| 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 | 11.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1680
312.4 IPS |
|
|
Image Classification (HP)
|
100% |
1779
330.8 IPS |
|
|
Image Classification (Q)
|
100% |
2523
469.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2739
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3252
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3147
3.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
6314
7.49 IPS |
|
|
Object Detection (SP)
|
98% |
1542
122.7 IPS |
|
|
Object Detection (HP)
|
98% |
1578
125.5 IPS |
|
|
Object Detection (Q)
|
83% |
2257
182.4 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (Q)
|
95% |
5116
61.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3582
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3524
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5310
48.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7024
9.12 IPS |
|
|
Style Transfer (HP)
|
89% |
7019
9.11 IPS |
|
|
Style Transfer (Q)
|
98% |
12885
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3269
121.1 IPS |
|
|
Text Classification (SP)
|
100% |
713
951.4 IPS |
|
|
Text Classification (HP)
|
99% |
716
956.2 IPS |
|
|
Text Classification (Q)
|
88% |
1209
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1615
27.8 IPS |
|
|
Machine Translation (Q)
|
50% |
707
25.1 IPS |
