vivo I2401
Geekbench AI Score
421
Single Precision Score
26513
Half Precision Score
59117
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 13 2025 04:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2401 |
| Model ID | vivo I2401 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
19889
3.70 KIPS |
|
|
Image Classification (Q)
|
97% |
47648
8.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
13492
218.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
39949
649.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
438
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
123131
143.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
475825
556.9 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
18204
1.44 KIPS |
|
|
Object Detection (Q)
|
85% |
21345
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (HP)
|
100% |
39905
474.2 IPS |
|
|
Face Detection (Q)
|
97% |
132404
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
552
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
81924
631.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
138842
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
1010
1.30 IPS |
|
|
Style Transfer (HP)
|
98% |
98524
127.0 IPS |
|
|
Style Transfer (Q)
|
98% |
490763
632.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52300
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
128502
4.76 KIPS |
|
|
Text Classification (SP)
|
100% |
364
485.5 IPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7992
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (Q)
|
56% |
2911
75.0 IPS |
