vivo I2405
Geekbench AI Score
2093
Single Precision Score
2127
Half Precision Score
3228
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 02:36 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 | 14.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1493
277.6 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.3 IPS |
|
|
Image Classification (Q)
|
100% |
2870
533.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3459
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4076
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3959
4.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
9260
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1302
103.6 IPS |
|
|
Object Detection (HP)
|
98% |
1381
109.9 IPS |
|
|
Object Detection (Q)
|
83% |
1932
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (Q)
|
95% |
5257
62.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3074
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3029
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5405
49.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8900
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8933
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15459
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1591
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3764
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.2 IPS |
|
|
Text Classification (HP)
|
99% |
636
848.6 IPS |
|
|
Text Classification (Q)
|
88% |
864
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
485
17.2 IPS |
