OPPO CPH2699
Geekbench AI Score
125
Single Precision Score
126
Half Precision Score
8192
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 03:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2699 |
| Model ID | OPPO CPH2699 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
73
13.5 IPS |
|
|
Image Classification (HP)
|
100% |
73
13.6 IPS |
|
|
Image Classification (Q)
|
97% |
8224
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
100
1.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
5553
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
125
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
125
0.15 IPS |
|
|
Pose Estimation (Q)
|
98% |
21143
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
71
5.64 IPS |
|
|
Object Detection (HP)
|
100% |
71
5.66 IPS |
|
|
Object Detection (Q)
|
86% |
3624
291.4 IPS |
|
|
Face Detection (SP)
|
100% |
210
2.49 IPS |
|
|
Face Detection (HP)
|
100% |
211
2.51 IPS |
|
|
Face Detection (Q)
|
97% |
20981
250.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
165
1.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
166
1.28 IPS |
|
|
Depth Estimation (Q)
|
63% |
16280
152.4 IPS |
|
|
Style Transfer (SP)
|
100% |
300
0.39 IPS |
|
|
Style Transfer (HP)
|
100% |
301
0.39 IPS |
|
|
Style Transfer (Q)
|
98% |
46335
59.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78
2.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
78
2.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11252
416.9 IPS |
|
|
Text Classification (SP)
|
100% |
104
139.4 IPS |
|
|
Text Classification (HP)
|
100% |
105
139.7 IPS |
|
|
Text Classification (Q)
|
93% |
3501
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.16 IPS |
|
|
Machine Translation (Q)
|
55% |
624
16.4 IPS |
