vivo I2405
Geekbench AI Score
2180
Single Precision Score
2137
Half Precision Score
3224
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 03:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2405 |
| Model ID | vivo I2405 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1519
282.5 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (Q)
|
100% |
2697
501.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3323
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3993
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3940
4.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
8867
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1605
127.8 IPS |
|
|
Object Detection (HP)
|
98% |
1388
110.4 IPS |
|
|
Object Detection (Q)
|
83% |
2124
171.6 IPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (Q)
|
95% |
5308
63.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3466
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3424
26.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5612
51.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9236
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9148
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16546
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1710
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3657
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
607
809.9 IPS |
|
|
Text Classification (HP)
|
99% |
659
879.2 IPS |
|
|
Text Classification (Q)
|
88% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (Q)
|
50% |
489
17.3 IPS |
