vivo I2302
Geekbench AI Score
874
Single Precision Score
876
Half Precision Score
1745
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 11:23 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% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (Q)
|
100% |
1179
219.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1317
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1332
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1318
1.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
3394
4.03 IPS |
|
|
Object Detection (SP)
|
98% |
631
50.2 IPS |
|
|
Object Detection (HP)
|
98% |
638
50.8 IPS |
|
|
Object Detection (Q)
|
83% |
1177
95.1 IPS |
|
|
Face Detection (SP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
2713
32.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1114
8.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
1188
9.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
2664
24.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3120
4.05 IPS |
|
|
Style Transfer (HP)
|
89% |
3274
4.25 IPS |
|
|
Style Transfer (Q)
|
98% |
7572
9.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
573
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1808
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
383
511.1 IPS |
|
|
Text Classification (HP)
|
99% |
388
517.5 IPS |
|
|
Text Classification (Q)
|
88% |
898
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
50% |
477
16.9 IPS |
