vivo V2315
Geekbench AI Score
408
Single Precision Score
400
Half Precision Score
725
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 03:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2315 |
| Model ID | vivo V2315 |
| Motherboard | k6833v1_64_k510 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
100% |
497
92.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
550
8.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
874
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
853
1.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
1255
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (Q)
|
83% |
495
40.0 IPS |
|
|
Face Detection (SP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (HP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (Q)
|
95% |
1135
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
782
6.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
712
5.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
1135
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1476
1.92 IPS |
|
|
Style Transfer (HP)
|
89% |
1474
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
2865
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
402
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
688
25.5 IPS |
|
|
Text Classification (SP)
|
100% |
206
274.6 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.8 IPS |
|
|
Text Classification (Q)
|
88% |
363
489.1 IPS |
|
|
Machine Translation (SP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.99 IPS |
|
|
Machine Translation (Q)
|
50% |
258
9.17 IPS |
