OnePlus OPD2403
Geekbench AI Score
2372
Single Precision Score
2324
Half Precision Score
2748
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 26 2025 02:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus OPD2403 |
| Model ID | OnePlus OPD2403 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1817
337.9 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.9 IPS |
|
|
Image Classification (Q)
|
100% |
2479
461.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2889
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3423
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
7313
8.67 IPS |
|
|
Object Detection (SP)
|
98% |
1491
118.7 IPS |
|
|
Object Detection (HP)
|
98% |
1535
122.2 IPS |
|
|
Object Detection (Q)
|
83% |
1887
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
3402
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (Q)
|
95% |
4739
56.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3370
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3178
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4487
41.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8963
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8877
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15451
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1640
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2949
109.3 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
99% |
907
1.21 KIPS |
|
|
Text Classification (Q)
|
88% |
695
937.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (Q)
|
50% |
370
13.1 IPS |
