OnePlus CPH2583
Geekbench AI Score
788
Single Precision Score
1146
Half Precision Score
1167
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | UrkMrl |
| Upload Date | March 15 2025 10:29 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2583 |
| Model ID | OnePlus CPH2583 |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
96% |
487
91.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1002
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1100
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2571
3.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
2547
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
87% |
597
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
1493
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
1595
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1820
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3720
28.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3078
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6700
8.61 IPS |
|
|
Style Transfer (HP)
|
100% |
10856
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10732
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1526
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
132
175.9 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.0 IPS |
|
|
Text Classification (Q)
|
91% |
214
288.3 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.14 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
57% |
370
9.05 IPS |
