OnePlus CPH2493
Geekbench AI Score
1096
Single Precision Score
1112
Half Precision Score
2038
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 08:57 AM |
| 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 | 15.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
714
132.9 IPS |
|
|
Image Classification (HP)
|
100% |
753
140.0 IPS |
|
|
Image Classification (Q)
|
100% |
1532
285.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1621
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1736
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1857
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
4347
5.16 IPS |
|
|
Object Detection (SP)
|
98% |
746
59.3 IPS |
|
|
Object Detection (HP)
|
98% |
811
64.5 IPS |
|
|
Object Detection (Q)
|
83% |
1243
100.4 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (Q)
|
95% |
3557
42.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1841
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2028
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3669
33.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4202
5.45 IPS |
|
|
Style Transfer (HP)
|
89% |
4213
5.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9987
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
838
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2470
91.5 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.7 IPS |
|
|
Text Classification (HP)
|
99% |
432
576.7 IPS |
|
|
Text Classification (Q)
|
88% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
374
13.3 IPS |
