OnePlus CPH2719
Geekbench AI Score
1931
Single Precision Score
1923
Half Precision Score
3368
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | allanburk |
| Upload Date | September 25 2025 06:01 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% |
1447
269.1 IPS |
|
|
Image Classification (HP)
|
100% |
1433
266.5 IPS |
|
|
Image Classification (Q)
|
100% |
2497
464.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2678
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2883
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2841
3.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
6909
8.19 IPS |
|
|
Object Detection (SP)
|
98% |
1373
109.3 IPS |
|
|
Object Detection (HP)
|
98% |
1367
108.8 IPS |
|
|
Object Detection (Q)
|
83% |
2240
181.0 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (Q)
|
95% |
5316
63.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2684
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2660
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5501
50.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7162
9.30 IPS |
|
|
Style Transfer (HP)
|
89% |
7093
9.21 IPS |
|
|
Style Transfer (Q)
|
98% |
14638
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1346
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3650
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
740
988.0 IPS |
|
|
Text Classification (HP)
|
99% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1416
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (Q)
|
50% |
821
29.1 IPS |
