vivo V2415
Geekbench AI Score
1825
Single Precision Score
1827
Half Precision Score
2604
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 03:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2415 |
| Model ID | vivo V2415 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 14.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
1361
253.2 IPS |
|
|
Image Classification (Q)
|
100% |
2157
401.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2345
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2955
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2803
3.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
5396
6.40 IPS |
|
|
Object Detection (SP)
|
98% |
1138
90.5 IPS |
|
|
Object Detection (HP)
|
98% |
1230
97.9 IPS |
|
|
Object Detection (Q)
|
83% |
1790
144.6 IPS |
|
|
Face Detection (SP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
2680
31.8 IPS |
|
|
Face Detection (Q)
|
95% |
4255
50.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3237
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3262
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4501
41.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6104
7.92 IPS |
|
|
Style Transfer (HP)
|
89% |
5759
7.48 IPS |
|
|
Style Transfer (Q)
|
98% |
10320
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2515
93.2 IPS |
|
|
Text Classification (SP)
|
100% |
564
752.9 IPS |
|
|
Text Classification (HP)
|
99% |
567
756.8 IPS |
|
|
Text Classification (Q)
|
88% |
976
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
606
21.5 IPS |
