vivo I2508
Geekbench AI Score
506
Single Precision Score
495
Half Precision Score
1133
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 18 2026 01:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo I2508 |
| Model ID | vivo I2508 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 4 part 2 revision 0 |
| Base Frequency | 3.32 GHz |
| Cluster 1 | 6 Cores @ 3.32 GHz |
| Cluster 2 | 2 Cores @ 3.80 GHz |
| Memory Information | |
|---|---|
| Size | 10.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.2 IPS |
|
|
Image Classification (Q)
|
99% |
1062
198.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
998
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
569
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
1909
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.9 IPS |
|
|
Object Detection (Q)
|
87% |
819
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
756
8.98 IPS |
|
|
Face Detection (HP)
|
100% |
756
8.98 IPS |
|
|
Face Detection (Q)
|
97% |
1714
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
640
4.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
639
4.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1496
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1135
1.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1048
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2750
3.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1018
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
370
493.2 IPS |
|
|
Text Classification (HP)
|
100% |
370
493.8 IPS |
|
|
Text Classification (Q)
|
91% |
604
811.9 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
488
11.9 IPS |
