vivo V2366GA
Geekbench AI Score
1094
Single Precision Score
1636
Half Precision Score
1462
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 03:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2366GA |
| Model ID | vivo V2366GA |
| 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 | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
841
156.4 IPS |
|
|
Image Classification (HP)
|
100% |
705
131.1 IPS |
|
|
Image Classification (Q)
|
96% |
664
123.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1128
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2574
3.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
2552
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (HP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (Q)
|
87% |
1084
87.0 IPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (Q)
|
97% |
2635
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1842
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3809
29.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3052
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6781
8.72 IPS |
|
|
Style Transfer (HP)
|
100% |
10853
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10787
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1587
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
256
342.1 IPS |
|
|
Text Classification (HP)
|
100% |
256
342.1 IPS |
|
|
Text Classification (Q)
|
91% |
420
564.4 IPS |
|
|
Machine Translation (SP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (Q)
|
57% |
373
9.10 IPS |
