vivo I2304
Geekbench AI Score
2136
Single Precision Score
2124
Half Precision Score
3387
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 04:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1724
320.6 IPS |
|
|
Image Classification (HP)
|
100% |
1788
332.5 IPS |
|
|
Image Classification (Q)
|
100% |
2847
529.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3104
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2785
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3004
3.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
7090
8.41 IPS |
|
|
Object Detection (SP)
|
98% |
1717
136.6 IPS |
|
|
Object Detection (HP)
|
98% |
1724
137.2 IPS |
|
|
Object Detection (Q)
|
83% |
2365
191.0 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3143
37.4 IPS |
|
|
Face Detection (Q)
|
95% |
5492
65.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3314
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3151
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5617
51.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7526
9.77 IPS |
|
|
Style Transfer (HP)
|
89% |
7469
9.70 IPS |
|
|
Style Transfer (Q)
|
98% |
14482
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1751
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3913
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
692
923.6 IPS |
|
|
Text Classification (HP)
|
99% |
690
920.5 IPS |
|
|
Text Classification (Q)
|
88% |
1056
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
728
25.9 IPS |
