vivo V2413
Geekbench AI Score
2256
Single Precision Score
2237
Half Precision Score
3264
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 08 2025 09:00 PM |
| Views | 29 |
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% |
1447
269.1 IPS |
|
|
Image Classification (HP)
|
100% |
1426
265.3 IPS |
|
|
Image Classification (Q)
|
100% |
2433
452.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2667
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3316
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3307
3.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
6595
7.82 IPS |
|
|
Object Detection (SP)
|
98% |
1542
122.7 IPS |
|
|
Object Detection (HP)
|
98% |
1529
121.7 IPS |
|
|
Object Detection (Q)
|
83% |
2232
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (Q)
|
95% |
5409
64.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3881
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3871
29.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5310
48.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7685
9.98 IPS |
|
|
Style Transfer (HP)
|
89% |
7722
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
13843
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3435
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1327
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1872
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (Q)
|
50% |
795
28.2 IPS |
