vivo V2548
Geekbench AI Score
1443
Single Precision Score
1703
Half Precision Score
2196
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 10:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2548 |
| Model ID | vivo V2548 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1584
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (Q)
|
99% |
2500
466.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1166
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3122
3.64 IPS |
|
|
Pose Estimation (HP)
|
92% |
6347
7.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
4914
5.76 IPS |
|
|
Object Detection (SP)
|
98% |
669
53.3 IPS |
|
|
Object Detection (HP)
|
97% |
749
59.6 IPS |
|
|
Object Detection (Q)
|
85% |
2250
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
3731
44.3 IPS |
|
|
Face Detection (Q)
|
97% |
2503
29.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2338
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2475
19.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2365
21.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3435
4.46 IPS |
|
|
Style Transfer (HP)
|
88% |
3901
5.07 IPS |
|
|
Style Transfer (Q)
|
98% |
12660
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2555
95.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1555
57.6 IPS |
|
|
Text Classification (SP)
|
100% |
662
884.2 IPS |
|
|
Text Classification (HP)
|
100% |
470
627.4 IPS |
|
|
Text Classification (Q)
|
93% |
710
953.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1016
17.6 IPS |
|
|
Machine Translation (Q)
|
55% |
980
26.3 IPS |
