vivo V2407
Geekbench AI Score
364
Single Precision Score
655
Half Precision Score
539
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 01:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
218
40.5 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (Q)
|
97% |
419
78.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
552
8.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
1209
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2357
2.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
2320
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
99% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
83% |
370
29.9 IPS |
|
|
Face Detection (SP)
|
100% |
723
8.60 IPS |
|
|
Face Detection (HP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (Q)
|
96% |
1366
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
863
6.65 IPS |
|
|
Depth Estimation (HP)
|
98% |
1694
13.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1344
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2061
2.65 IPS |
|
|
Style Transfer (HP)
|
100% |
4403
5.66 IPS |
|
|
Style Transfer (Q)
|
98% |
4405
5.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
884
32.8 IPS |
|
|
Text Classification (SP)
|
35% |
13
117.7 IPS |
|
|
Text Classification (HP)
|
29% |
11
181.6 IPS |
|
|
Text Classification (Q)
|
31% |
15
210.0 IPS |
|
|
Machine Translation (SP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
43% |
99
5.76 IPS |
