OnePlus CPH2493
Geekbench AI Score
522
Single Precision Score
521
Half Precision Score
1076
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 07:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2493 |
| Model ID | OnePlus CPH2493 |
| 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 | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
270
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
100% |
793
147.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1143
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1136
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
2486
2.95 IPS |
|
|
Object Detection (SP)
|
98% |
276
22.0 IPS |
|
|
Object Detection (HP)
|
98% |
274
21.8 IPS |
|
|
Object Detection (Q)
|
83% |
682
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
643
7.64 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (Q)
|
95% |
1674
20.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
892
6.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
912
7.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1831
16.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2322
3.01 IPS |
|
|
Style Transfer (HP)
|
89% |
2212
2.87 IPS |
|
|
Style Transfer (Q)
|
98% |
5071
6.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1187
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.1 IPS |
|
|
Text Classification (HP)
|
99% |
245
326.7 IPS |
|
|
Text Classification (Q)
|
88% |
472
636.7 IPS |
|
|
Machine Translation (SP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
50% |
237
8.42 IPS |
