OnePlus OPD2504
Geekbench AI Score
584
Single Precision Score
1392
Half Precision Score
2880
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 12:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus OPD2504 |
| Model ID | OnePlus OPD2504 |
| Motherboard | k6878v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
476
88.6 IPS |
|
|
Image Classification (HP)
|
100% |
1692
314.6 IPS |
|
|
Image Classification (Q)
|
99% |
4781
891.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2187
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3028
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6851
7.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
27652
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (Q)
|
86% |
2409
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
4419
52.5 IPS |
|
|
Face Detection (Q)
|
97% |
10294
122.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
418
3.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
7537
58.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
16062
152.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1726
2.22 IPS |
|
|
Style Transfer (HP)
|
100% |
286
0.37 IPS |
|
|
Style Transfer (Q)
|
30% |
385
5.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4316
159.4 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3274
476.9 IPS |
|
|
Text Classification (SP)
|
100% |
73
96.8 IPS |
|
|
Text Classification (HP)
|
100% |
111
147.7 IPS |
|
|
Text Classification (Q)
|
93% |
1307
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (Q)
|
53% |
207
5.94 IPS |
