vivo V2366GA
Geekbench AI Score
2553
Single Precision Score
2493
Half Precision Score
3891
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 09:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
1824
339.2 IPS |
|
|
Image Classification (Q)
|
100% |
3034
564.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3757
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4309
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4010
4.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
9011
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1821
144.9 IPS |
|
|
Object Detection (HP)
|
98% |
1815
144.5 IPS |
|
|
Object Detection (Q)
|
83% |
2578
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (Q)
|
95% |
6242
74.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3978
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3953
30.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6467
59.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9620
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9579
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18928
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4715
174.7 IPS |
|
|
Text Classification (SP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
1171
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
713
25.3 IPS |
