vivo I2403
Geekbench AI Score
759
Single Precision Score
757
Half Precision Score
1575
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 01:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo I2403 |
| Model ID | vivo I2403 |
| Motherboard | k6878v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
394
73.3 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
100% |
1282
238.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
473
7.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1499
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1752
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1626
1.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
2790
3.31 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (Q)
|
83% |
1043
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
905
10.8 IPS |
|
|
Face Detection (Q)
|
95% |
2626
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1301
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1293
9.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
2534
23.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2888
3.75 IPS |
|
|
Style Transfer (HP)
|
89% |
2901
3.77 IPS |
|
|
Style Transfer (Q)
|
98% |
6450
8.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
720
26.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1524
56.5 IPS |
|
|
Text Classification (SP)
|
100% |
382
509.6 IPS |
|
|
Text Classification (HP)
|
100% |
377
503.3 IPS |
|
|
Text Classification (Q)
|
88% |
662
892.3 IPS |
|
|
Machine Translation (SP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
389
13.8 IPS |
