vivo I2304
Geekbench AI Score
728
Single Precision Score
1003
Half Precision Score
969
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 04:22 PM |
| 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 | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.9 IPS |
|
|
Image Classification (Q)
|
96% |
833
155.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1566
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
688
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1063
1.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
1068
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.5 IPS |
|
|
Object Detection (Q)
|
87% |
655
52.6 IPS |
|
|
Face Detection (SP)
|
100% |
1749
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
1597
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1130
8.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
2137
16.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1800
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2895
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
6647
8.55 IPS |
|
|
Style Transfer (Q)
|
98% |
6536
8.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
260
9.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
258
9.54 IPS |
|
|
Text Classification (SP)
|
100% |
295
394.2 IPS |
|
|
Text Classification (HP)
|
100% |
310
414.3 IPS |
|
|
Text Classification (Q)
|
91% |
482
648.4 IPS |
|
|
Machine Translation (SP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (Q)
|
57% |
343
8.38 IPS |
