vivo V2413
Geekbench AI Score
2287
Single Precision Score
2298
Half Precision Score
3372
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | skikitt |
| Upload Date | May 24 2025 06:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2413 |
| Model ID | vivo V2413 |
| 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% |
1705
317.2 IPS |
|
|
Image Classification (HP)
|
100% |
1656
308.1 IPS |
|
|
Image Classification (Q)
|
100% |
2569
477.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2832
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3656
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3662
4.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
7238
8.58 IPS |
|
|
Object Detection (SP)
|
98% |
1397
111.2 IPS |
|
|
Object Detection (HP)
|
98% |
1520
121.0 IPS |
|
|
Object Detection (Q)
|
83% |
2354
190.2 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (Q)
|
95% |
5298
63.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3833
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3858
29.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5547
50.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7808
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7886
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14433
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3427
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1309
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (Q)
|
50% |
808
28.7 IPS |
