OnePlus CPH2493
Geekbench AI Score
1454
Single Precision Score
1395
Half Precision Score
2284
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 09:01 PM |
| Views | 3 |
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 | 15.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1121
208.5 IPS |
|
|
Image Classification (HP)
|
100% |
994
184.8 IPS |
|
|
Image Classification (Q)
|
100% |
1640
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1095
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1660
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1918
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1950
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
4514
5.35 IPS |
|
|
Object Detection (SP)
|
98% |
977
77.7 IPS |
|
|
Object Detection (HP)
|
98% |
945
75.2 IPS |
|
|
Object Detection (Q)
|
83% |
1560
126.1 IPS |
|
|
Face Detection (SP)
|
100% |
2119
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
1869
22.2 IPS |
|
|
Face Detection (Q)
|
95% |
3531
42.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2233
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2168
16.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3737
34.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4934
6.41 IPS |
|
|
Style Transfer (HP)
|
89% |
5012
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
10197
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1182
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2669
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
549
733.1 IPS |
|
|
Text Classification (HP)
|
99% |
566
755.3 IPS |
|
|
Text Classification (Q)
|
88% |
962
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
584
20.7 IPS |
