OnePlus CPH2719
Geekbench AI Score
913
Single Precision Score
1101
Half Precision Score
928
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | allanburk |
| Upload Date | September 25 2025 06:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
399
74.2 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (Q)
|
97% |
413
77.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1940
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6837
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
10191
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9714
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
99% |
524
41.5 IPS |
|
|
Object Detection (Q)
|
83% |
538
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (Q)
|
96% |
2122
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2648
20.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3596
27.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
3254
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10134
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16688
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15806
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1063
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1338
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1256
46.6 IPS |
|
|
Text Classification (SP)
|
35% |
14
123.4 IPS |
|
|
Text Classification (HP)
|
29% |
8
146.0 IPS |
|
|
Text Classification (Q)
|
32% |
10
132.5 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
43% |
83
4.83 IPS |
