vivo I2304
Geekbench AI Score
355
Single Precision Score
16122
Half Precision Score
36328
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 06:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
219
40.8 IPS |
|
|
Image Classification (HP)
|
100% |
12142
2.26 KIPS |
|
|
Image Classification (Q)
|
97% |
32207
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
7400
120.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21368
347.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
378
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
71423
83.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
292165
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
11581
918.6 IPS |
|
|
Object Detection (Q)
|
86% |
12886
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
523
6.21 IPS |
|
|
Face Detection (HP)
|
100% |
24162
287.1 IPS |
|
|
Face Detection (Q)
|
97% |
80542
960.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
466
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
44619
343.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
79650
745.8 IPS |
|
|
Style Transfer (SP)
|
100% |
776
1.00 IPS |
|
|
Style Transfer (HP)
|
98% |
60319
77.8 IPS |
|
|
Style Transfer (Q)
|
98% |
292042
376.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32507
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81828
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
297
396.7 IPS |
|
|
Text Classification (HP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
497
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
2983
51.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1803
47.2 IPS |
