vivo V2307A
Geekbench AI Score
895
Single Precision Score
1372
Half Precision Score
1428
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 20 2024 01:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2307A |
| Model ID | vivo V2307A |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
673
125.1 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.4 IPS |
|
|
Image Classification (Q)
|
99% |
763
142.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2291
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
923
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
1821
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
100% |
807
64.0 IPS |
|
|
Object Detection (Q)
|
89% |
822
65.8 IPS |
|
|
Face Detection (SP)
|
100% |
2049
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
2885
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1479
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2960
22.8 IPS |
|
|
Depth Estimation (Q)
|
74% |
2734
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4987
6.41 IPS |
|
|
Style Transfer (HP)
|
100% |
8231
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8228
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1147
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1227
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
277
370.3 IPS |
|
|
Text Classification (HP)
|
100% |
277
370.1 IPS |
|
|
Text Classification (Q)
|
91% |
455
610.9 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
57% |
374
9.14 IPS |
