vivo V2304A
Geekbench AI Score
375
Single Precision Score
16466
Half Precision Score
36567
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 14 2026 05:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2304A |
| Model ID | vivo V2304A |
| 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% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
12746
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
32227
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
7829
126.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21497
349.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
403
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
71842
83.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
294360
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
12133
962.4 IPS |
|
|
Object Detection (Q)
|
86% |
13649
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (HP)
|
100% |
25036
297.5 IPS |
|
|
Face Detection (Q)
|
97% |
77008
918.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
489
3.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
44622
343.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
80703
755.7 IPS |
|
|
Style Transfer (SP)
|
100% |
801
1.03 IPS |
|
|
Style Transfer (HP)
|
98% |
60223
77.7 IPS |
|
|
Style Transfer (Q)
|
98% |
294609
379.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
258
9.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32655
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81842
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
316
422.2 IPS |
|
|
Text Classification (HP)
|
100% |
2533
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (HP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1816
47.6 IPS |
