vivo V2366HA
Geekbench AI Score
355
Single Precision Score
14782
Half Precision Score
37049
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | yu17 |
| Upload Date | November 01 2024 05:27 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
316
58.8 IPS |
|
|
Image Classification (HP)
|
100% |
16489
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
40421
7.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
10650
172.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
28344
460.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
76508
89.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
393033
460.0 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
13635
1.08 KIPS |
|
|
Object Detection (Q)
|
86% |
17808
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
577
6.86 IPS |
|
|
Face Detection (HP)
|
100% |
31302
371.9 IPS |
|
|
Face Detection (Q)
|
97% |
111405
1.33 KIPS |
|
|
Depth Estimation (SP)
|
100% |
430
3.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
55756
429.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
108574
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
762
0.98 IPS |
|
|
Style Transfer (HP)
|
24% |
3673
111.1 IPS |
|
|
Style Transfer (Q)
|
98% |
302119
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
240
8.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39032
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
95457
3.54 KIPS |
|
|
Text Classification (SP)
|
100% |
209
278.6 IPS |
|
|
Text Classification (HP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6624
8.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
370
6.38 IPS |
|
|
Machine Translation (HP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (Q)
|
30% |
263
52.7 IPS |
