vivo V2366GA
Geekbench AI Score
825
Single Precision Score
1316
Half Precision Score
1202
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 11:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
676
125.8 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.7 IPS |
|
|
Image Classification (Q)
|
96% |
768
143.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1330
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
917
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1839
2.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
1810
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (HP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (Q)
|
87% |
840
67.4 IPS |
|
|
Face Detection (SP)
|
100% |
2167
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
3059
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
2292
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1456
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2910
22.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2412
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4950
6.36 IPS |
|
|
Style Transfer (HP)
|
100% |
8222
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8129
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1158
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1036
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.0 IPS |
|
|
Text Classification (HP)
|
100% |
192
255.7 IPS |
|
|
Text Classification (Q)
|
91% |
312
419.7 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (Q)
|
57% |
280
6.84 IPS |
