OnePlus CPH2491
Geekbench AI Score
594
Single Precision Score
744
Half Precision Score
755
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fatvenom |
| Upload Date | April 04 2025 11:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2491 |
| Model ID | OnePlus CPH2491 |
| Motherboard | k6983v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
597
111.1 IPS |
|
|
Image Classification (Q)
|
99% |
638
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
923
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
626
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
910
1.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
898
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
83% |
487
39.4 IPS |
|
|
Face Detection (SP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1868
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
1709
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
937
7.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
1105
8.51 IPS |
|
|
Depth Estimation (Q)
|
62% |
883
8.36 IPS |
|
|
Style Transfer (SP)
|
100% |
2621
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
3570
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
3538
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
639
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.8 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.8 IPS |
|
|
Text Classification (Q)
|
91% |
308
413.5 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (Q)
|
57% |
225
5.49 IPS |
