vivo I2405
Geekbench AI Score
2178
Single Precision Score
2099
Half Precision Score
3267
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 07:36 AM |
| Views | 1 |
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% |
1584
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (Q)
|
100% |
2551
474.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2039
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3388
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3931
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3832
4.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
8478
10.1 IPS |
|
|
Object Detection (SP)
|
98% |
1526
121.5 IPS |
|
|
Object Detection (HP)
|
98% |
1444
114.9 IPS |
|
|
Object Detection (Q)
|
83% |
2186
176.6 IPS |
|
|
Face Detection (SP)
|
100% |
3557
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
3416
40.6 IPS |
|
|
Face Detection (Q)
|
95% |
5357
64.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3072
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3009
23.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5595
51.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9174
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9102
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16875
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1656
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3771
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
514
686.6 IPS |
|
|
Text Classification (HP)
|
99% |
610
814.5 IPS |
|
|
Text Classification (Q)
|
88% |
861
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1424
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
527
18.7 IPS |
