OnePlus CPH2719
Geekbench AI Score
1766
Single Precision Score
1759
Half Precision Score
2966
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | allanburk |
| Upload Date | September 27 2025 11:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2719 |
| Model ID | OnePlus CPH2719 |
| Motherboard | k6897v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
1426
265.1 IPS |
|
|
Image Classification (Q)
|
100% |
2442
454.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2613
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2633
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2583
3.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
6102
7.24 IPS |
|
|
Object Detection (SP)
|
98% |
1227
97.7 IPS |
|
|
Object Detection (HP)
|
98% |
1161
92.4 IPS |
|
|
Object Detection (Q)
|
83% |
1954
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (Q)
|
95% |
4523
54.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2478
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2501
19.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4716
43.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6278
8.15 IPS |
|
|
Style Transfer (HP)
|
89% |
6349
8.24 IPS |
|
|
Style Transfer (Q)
|
98% |
12637
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1178
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3129
115.9 IPS |
|
|
Text Classification (SP)
|
100% |
644
859.7 IPS |
|
|
Text Classification (HP)
|
99% |
637
850.1 IPS |
|
|
Text Classification (Q)
|
88% |
1188
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1427
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
692
24.6 IPS |
