OPPO CPH2797
Geekbench AI Score
201
Single Precision Score
153
Half Precision Score
399
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 09:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OPPO CPH2797 |
| Model ID | OPPO CPH2797 |
| 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 | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
262
48.6 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (Q)
|
99% |
212
39.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
265
4.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (Q)
|
98% |
661
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
83
6.58 IPS |
|
|
Object Detection (HP)
|
100% |
76
6.06 IPS |
|
|
Object Detection (Q)
|
87% |
405
32.5 IPS |
|
|
Face Detection (SP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (Q)
|
97% |
780
9.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
203
1.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
219
1.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
738
6.70 IPS |
|
|
Style Transfer (SP)
|
100% |
311
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
364
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
1119
1.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
81
3.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
319
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.0 IPS |
|
|
Text Classification (HP)
|
100% |
91
121.0 IPS |
|
|
Text Classification (Q)
|
91% |
201
270.7 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (Q)
|
57% |
168
4.11 IPS |
