OnePlus CPH2719
Geekbench AI Score
1853
Single Precision Score
1822
Half Precision Score
3216
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 08:05 PM |
| Views | 1 |
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% |
1448
269.2 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.6 IPS |
|
|
Image Classification (Q)
|
100% |
2485
462.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2638
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2684
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2646
3.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
6349
7.53 IPS |
|
|
Object Detection (SP)
|
98% |
1284
102.2 IPS |
|
|
Object Detection (HP)
|
98% |
1313
104.5 IPS |
|
|
Object Detection (Q)
|
83% |
2200
177.7 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (Q)
|
95% |
5281
63.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2639
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2465
19.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5172
47.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6532
8.48 IPS |
|
|
Style Transfer (HP)
|
89% |
6538
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
13612
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1220
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1213
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3386
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
745
994.5 IPS |
|
|
Text Classification (HP)
|
99% |
745
994.9 IPS |
|
|
Text Classification (Q)
|
88% |
1394
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (Q)
|
50% |
738
26.2 IPS |
