vivo V2338A
Geekbench AI Score
381
Single Precision Score
16424
Half Precision Score
36654
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 09:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2338A |
| Model ID | vivo V2338A |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.7 IPS |
|
|
Image Classification (HP)
|
100% |
12772
2.38 KIPS |
|
|
Image Classification (Q)
|
97% |
32347
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
7833
127.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21839
355.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
399
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
71878
83.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
292779
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
11587
919.1 IPS |
|
|
Object Detection (Q)
|
86% |
13672
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
558
6.64 IPS |
|
|
Face Detection (HP)
|
100% |
25510
303.1 IPS |
|
|
Face Detection (Q)
|
97% |
79526
948.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
44886
345.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
81832
766.2 IPS |
|
|
Style Transfer (SP)
|
100% |
820
1.05 IPS |
|
|
Style Transfer (HP)
|
98% |
60129
77.5 IPS |
|
|
Style Transfer (Q)
|
98% |
290952
375.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32323
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81763
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
313
417.8 IPS |
|
|
Text Classification (HP)
|
100% |
2526
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5631
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
526
9.05 IPS |
|
|
Machine Translation (HP)
|
100% |
3050
52.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1776
46.5 IPS |
