vivo I2302
Geekbench AI Score
836
Single Precision Score
828
Half Precision Score
1542
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo I2302 |
| Model ID | vivo I2302 |
| Motherboard | k6886v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
662
123.2 IPS |
|
|
Image Classification (HP)
|
100% |
669
124.5 IPS |
|
|
Image Classification (Q)
|
100% |
1079
200.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1180
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1311
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1175
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
3031
3.59 IPS |
|
|
Object Detection (SP)
|
98% |
587
46.7 IPS |
|
|
Object Detection (HP)
|
98% |
591
47.0 IPS |
|
|
Object Detection (Q)
|
83% |
957
77.3 IPS |
|
|
Face Detection (SP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (Q)
|
95% |
2294
27.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1146
8.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
1136
8.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
2395
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2944
3.82 IPS |
|
|
Style Transfer (HP)
|
89% |
2995
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
6567
8.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1540
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
318
424.8 IPS |
|
|
Text Classification (HP)
|
99% |
316
421.5 IPS |
|
|
Text Classification (Q)
|
88% |
833
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
446
15.8 IPS |
