vivo V2238A
Geekbench AI Score
440
Single Precision Score
472
Half Precision Score
494
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 07:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2238A |
| Model ID | vivo V2238A |
| Motherboard | k6895v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
255
47.3 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
648
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
452
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
631
0.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
625
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
83% |
189
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
767
9.12 IPS |
|
|
Face Detection (HP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
720
8.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
747
5.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
836
6.44 IPS |
|
|
Depth Estimation (Q)
|
62% |
677
6.41 IPS |
|
|
Style Transfer (SP)
|
100% |
2003
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2455
3.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2444
3.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
354
13.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
376
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
219
291.7 IPS |
|
|
Text Classification (HP)
|
100% |
219
291.7 IPS |
|
|
Text Classification (Q)
|
91% |
449
603.2 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (Q)
|
57% |
327
7.98 IPS |
