OnePlus CPH2493
Geekbench AI Score
1266
Single Precision Score
1267
Half Precision Score
2193
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 12:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
897
166.9 IPS |
|
|
Image Classification (HP)
|
100% |
914
169.9 IPS |
|
|
Image Classification (Q)
|
100% |
1603
298.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1655
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1815
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
4417
5.24 IPS |
|
|
Object Detection (SP)
|
98% |
794
63.2 IPS |
|
|
Object Detection (HP)
|
98% |
863
68.6 IPS |
|
|
Object Detection (Q)
|
83% |
1283
103.6 IPS |
|
|
Face Detection (SP)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1786
21.2 IPS |
|
|
Face Detection (Q)
|
95% |
3446
41.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1973
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1952
15.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3625
33.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4628
6.01 IPS |
|
|
Style Transfer (HP)
|
89% |
4564
5.93 IPS |
|
|
Style Transfer (Q)
|
98% |
10129
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
958
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
985
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2621
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
549
733.3 IPS |
|
|
Text Classification (HP)
|
99% |
501
668.2 IPS |
|
|
Text Classification (Q)
|
88% |
990
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
522
18.5 IPS |
