vivo I2304
Geekbench AI Score
1250
Single Precision Score
1925
Half Precision Score
1573
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 06:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2304 |
| Model ID | vivo I2304 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
786
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
1088
202.3 IPS |
|
|
Image Classification (Q)
|
99% |
979
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2878
46.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2291
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6292
7.34 IPS |
|
|
Pose Estimation (HP)
|
99% |
11010
12.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
10779
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (HP)
|
99% |
874
69.3 IPS |
|
|
Object Detection (Q)
|
82% |
919
74.5 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
4739
56.3 IPS |
|
|
Face Detection (Q)
|
97% |
3309
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2914
22.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4427
34.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3616
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7883
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16595
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15657
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2566
94.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2605
96.5 IPS |
|
|
Text Classification (SP)
|
35% |
36
347.8 IPS |
|
|
Text Classification (HP)
|
35% |
42
386.4 IPS |
|
|
Text Classification (Q)
|
35% |
40
391.0 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
97% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
49% |
215
8.07 IPS |
