vivo V2348
Geekbench AI Score
625
Single Precision Score
606
Half Precision Score
1136
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | freesoul394 |
| Upload Date | November 24 2024 09:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2348 |
| Model ID | vivo V2348 |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
497
92.5 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (Q)
|
100% |
897
166.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
872
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1303
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1299
1.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
2720
3.23 IPS |
|
|
Object Detection (SP)
|
98% |
432
34.4 IPS |
|
|
Object Detection (HP)
|
98% |
429
34.2 IPS |
|
|
Object Detection (Q)
|
83% |
926
74.8 IPS |
|
|
Face Detection (SP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (HP)
|
100% |
755
8.97 IPS |
|
|
Face Detection (Q)
|
95% |
1866
22.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
947
7.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
1010
7.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1954
17.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2233
2.90 IPS |
|
|
Style Transfer (HP)
|
89% |
2247
2.92 IPS |
|
|
Style Transfer (Q)
|
98% |
5319
6.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
489
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1360
50.4 IPS |
|
|
Text Classification (SP)
|
100% |
225
300.2 IPS |
|
|
Text Classification (HP)
|
99% |
203
270.3 IPS |
|
|
Text Classification (Q)
|
88% |
316
425.8 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.22 IPS |
|
|
Machine Translation (Q)
|
50% |
219
7.78 IPS |
