vivo V2304A
Geekbench AI Score
2066
Single Precision Score
2047
Half Precision Score
3219
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 14 2026 04:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1550
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
1675
311.5 IPS |
|
|
Image Classification (Q)
|
100% |
2601
483.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1755
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2786
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2884
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2783
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
6433
7.63 IPS |
|
|
Object Detection (SP)
|
98% |
1595
126.9 IPS |
|
|
Object Detection (HP)
|
98% |
1608
127.9 IPS |
|
|
Object Detection (Q)
|
83% |
2307
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (Q)
|
95% |
5504
65.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3026
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2886
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5225
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6917
8.98 IPS |
|
|
Style Transfer (HP)
|
89% |
6885
8.94 IPS |
|
|
Style Transfer (Q)
|
98% |
13219
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3557
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
702
936.6 IPS |
|
|
Text Classification (Q)
|
88% |
1112
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1495
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1446
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
739
26.2 IPS |
