vivo V2366GA
Geekbench AI Score
2418
Single Precision Score
2404
Half Precision Score
3709
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 10:36 PM |
| Views | 2 |
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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1704
316.8 IPS |
|
|
Image Classification (HP)
|
100% |
1703
316.7 IPS |
|
|
Image Classification (Q)
|
100% |
2784
517.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3258
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4110
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4082
4.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
9209
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1823
145.1 IPS |
|
|
Object Detection (HP)
|
98% |
1757
139.8 IPS |
|
|
Object Detection (Q)
|
83% |
2476
200.0 IPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (Q)
|
95% |
5945
71.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3490
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3454
26.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6072
55.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9263
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9276
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18267
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4478
165.9 IPS |
|
|
Text Classification (SP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
1148
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
703
25.0 IPS |
