vivo V2366HA
Geekbench AI Score
350
Single Precision Score
20365
Half Precision Score
49922
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 03:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2366HA |
| Model ID | vivo V2366HA |
| 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% |
309
57.5 IPS |
|
|
Image Classification (HP)
|
100% |
16690
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
39878
7.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
10591
171.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
31229
507.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
518
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
76605
89.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
397235
464.9 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
14351
1.14 KIPS |
|
|
Object Detection (Q)
|
86% |
19881
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
540
6.41 IPS |
|
|
Face Detection (HP)
|
100% |
30661
364.3 IPS |
|
|
Face Detection (Q)
|
97% |
116811
1.39 KIPS |
|
|
Depth Estimation (SP)
|
100% |
433
3.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
57621
443.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
111851
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
764
0.98 IPS |
|
|
Style Transfer (HP)
|
98% |
82160
105.9 IPS |
|
|
Style Transfer (Q)
|
98% |
422102
544.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
175
6.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39371
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104221
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
209
279.0 IPS |
|
|
Text Classification (HP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6883
9.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (Q)
|
55% |
2471
64.7 IPS |
