vivo V2338A
Geekbench AI Score
2293
Single Precision Score
2288
Half Precision Score
3546
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 08:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1865
346.9 IPS |
|
|
Image Classification (HP)
|
100% |
1858
345.6 IPS |
|
|
Image Classification (Q)
|
100% |
2749
511.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3003
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3311
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3293
3.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
7522
8.92 IPS |
|
|
Object Detection (SP)
|
98% |
1839
146.4 IPS |
|
|
Object Detection (HP)
|
98% |
1866
148.5 IPS |
|
|
Object Detection (Q)
|
83% |
2736
221.0 IPS |
|
|
Face Detection (SP)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (Q)
|
95% |
5970
71.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3529
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3374
26.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6029
55.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7931
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7925
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15406
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3950
146.4 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
748
998.3 IPS |
|
|
Text Classification (Q)
|
88% |
1104
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (Q)
|
50% |
766
27.2 IPS |
