vivo V2307
Geekbench AI Score
504
Single Precision Score
505
Half Precision Score
940
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 09:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2307 |
| Model ID | vivo V2307 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
223
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.2 IPS |
|
|
Image Classification (Q)
|
100% |
666
123.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
765
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1123
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1117
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1592
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
83% |
655
52.9 IPS |
|
|
Face Detection (SP)
|
100% |
721
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
707
8.41 IPS |
|
|
Face Detection (Q)
|
95% |
1420
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
911
7.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
905
6.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1340
12.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1733
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1849
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3743
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
825
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.0 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.5 IPS |
|
|
Text Classification (Q)
|
88% |
519
699.8 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.76 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
50% |
333
11.8 IPS |
