vivo V2333
Geekbench AI Score
275
Single Precision Score
269
Half Precision Score
547
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 12:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2333 |
| Model ID | vivo V2333 |
| Motherboard | k69v1_64_k510 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (Q)
|
100% |
436
81.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
517
8.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
668
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
643
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1191
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
83% |
385
31.1 IPS |
|
|
Face Detection (SP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (HP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (Q)
|
95% |
796
9.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
416
3.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
976
8.94 IPS |
|
|
Style Transfer (SP)
|
89% |
1266
1.64 IPS |
|
|
Style Transfer (HP)
|
89% |
1254
1.63 IPS |
|
|
Style Transfer (Q)
|
98% |
2723
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
210
7.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
208
7.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
593
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
134
178.8 IPS |
|
|
Text Classification (HP)
|
100% |
124
166.2 IPS |
|
|
Text Classification (Q)
|
88% |
178
240.5 IPS |
|
|
Machine Translation (SP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (HP)
|
100% |
177
3.06 IPS |
|
|
Machine Translation (Q)
|
50% |
105
3.73 IPS |
