OPPO CPH2791
Geekbench AI Score
294
Single Precision Score
266
Half Precision Score
518
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OPPO CPH2791 |
| Model ID | OPPO CPH2791 |
| Motherboard | k6993v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3468 revision 0 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores @ 2.70 GHz |
| Cluster 2 | 3 Cores @ 3.50 GHz |
| Cluster 3 | 1 Core @ 4.21 GHz |
| Memory Information | |
|---|---|
| Size | 14.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (HP)
|
100% |
380
70.6 IPS |
|
|
Image Classification (Q)
|
99% |
290
54.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
601
9.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
408
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
171
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
675
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
102
8.10 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.14 IPS |
|
|
Object Detection (Q)
|
87% |
299
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
595
7.08 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.80 IPS |
|
|
Face Detection (Q)
|
97% |
700
8.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
374
2.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
512
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
621
5.64 IPS |
|
|
Style Transfer (SP)
|
100% |
424
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
472
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1698
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
119
4.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
413
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.6 IPS |
|
|
Text Classification (HP)
|
100% |
376
501.6 IPS |
|
|
Text Classification (Q)
|
91% |
335
449.7 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
57% |
388
9.47 IPS |
