vivo V2324A
Geekbench AI Score
2187
Single Precision Score
2160
Half Precision Score
3135
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 01:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2324A |
| Model ID | vivo V2324A |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1683
313.1 IPS |
|
|
Image Classification (HP)
|
100% |
1671
310.8 IPS |
|
|
Image Classification (Q)
|
100% |
2576
479.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2749
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3079
3.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
6311
7.49 IPS |
|
|
Object Detection (SP)
|
98% |
1480
117.8 IPS |
|
|
Object Detection (HP)
|
98% |
1551
123.5 IPS |
|
|
Object Detection (Q)
|
83% |
2198
177.5 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (Q)
|
95% |
5055
60.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3553
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3491
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5247
48.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7278
9.45 IPS |
|
|
Style Transfer (HP)
|
89% |
6868
8.92 IPS |
|
|
Style Transfer (Q)
|
98% |
12848
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3256
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
719
959.9 IPS |
|
|
Text Classification (HP)
|
99% |
722
964.2 IPS |
|
|
Text Classification (Q)
|
88% |
1193
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
707
25.1 IPS |
