vivo V2366GA
Geekbench AI Score
2736
Single Precision Score
2757
Half Precision Score
4501
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 02:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1936
360.0 IPS |
|
|
Image Classification (HP)
|
100% |
2416
449.4 IPS |
|
|
Image Classification (Q)
|
100% |
3856
717.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2574
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2664
43.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4089
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4245
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4019
4.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
9705
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1960
156.0 IPS |
|
|
Object Detection (HP)
|
98% |
2188
174.1 IPS |
|
|
Object Detection (Q)
|
83% |
3350
270.6 IPS |
|
|
Face Detection (SP)
|
100% |
4068
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (Q)
|
95% |
7549
90.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4120
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3966
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
7162
65.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9892
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9860
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19800
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2152
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2141
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5365
198.8 IPS |
|
|
Text Classification (SP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1003
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1510
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1402
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
769
27.3 IPS |
