vivo V2407
Geekbench AI Score
436
Single Precision Score
418
Half Precision Score
821
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 01:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2407 |
| Model ID | vivo V2407 |
| Motherboard | k6835v2_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
100% |
526
97.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
620
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
806
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
600
0.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
1335
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (Q)
|
83% |
569
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
668
7.93 IPS |
|
|
Face Detection (HP)
|
100% |
666
7.91 IPS |
|
|
Face Detection (Q)
|
95% |
1311
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
798
6.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
722
5.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
1225
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1562
2.03 IPS |
|
|
Style Transfer (HP)
|
89% |
1551
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3386
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
822
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.7 IPS |
|
|
Text Classification (HP)
|
100% |
233
311.0 IPS |
|
|
Text Classification (Q)
|
88% |
429
577.9 IPS |
|
|
Machine Translation (SP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (Q)
|
50% |
296
10.5 IPS |
