OnePlus OPD2304
Geekbench AI Score
499
Single Precision Score
495
Half Precision Score
919
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | alfeinar |
| Upload Date | June 16 2025 10:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus OPD2304 |
| Model ID | OnePlus OPD2304 |
| Motherboard | k6789v1_64 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
219
40.6 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
100% |
631
117.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
698
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1077
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1064
1.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
1558
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (Q)
|
83% |
619
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (HP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (Q)
|
95% |
1435
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
907
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
871
6.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1439
13.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1803
2.34 IPS |
|
|
Style Transfer (HP)
|
89% |
1801
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3611
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
869
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.4 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.3 IPS |
|
|
Text Classification (Q)
|
88% |
478
644.4 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.86 IPS |
|
|
Machine Translation (Q)
|
50% |
329
11.7 IPS |
