OPPO CPH2471
Geekbench AI Score
124
Single Precision Score
120
Half Precision Score
86
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 27 2025 02:32 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6765G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OPPO CPH2471 |
| Model ID | OPPO CPH2471 |
| Motherboard | k65v1_64_bsp |
| CPU Information | |
|---|---|
| Name | ARM MT6765G |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 2.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
77
14.3 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
100% |
65
12.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
418
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
413
0.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
398
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.71 IPS |
|
|
Object Detection (HP)
|
100% |
74
5.86 IPS |
|
|
Object Detection (Q)
|
85% |
66
5.32 IPS |
|
|
Face Detection (SP)
|
100% |
217
2.57 IPS |
|
|
Face Detection (HP)
|
100% |
209
2.48 IPS |
|
|
Face Detection (Q)
|
97% |
170
2.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
249
1.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
202
1.85 IPS |
|
|
Style Transfer (SP)
|
100% |
764
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
754
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
713
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
164
6.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
152
5.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
138
5.11 IPS |
|
|
Text Classification (SP)
|
35% |
7
64.2 IPS |
|
|
Text Classification (HP)
|
35% |
7
64.1 IPS |
|
|
Text Classification (Q)
|
32% |
5
59.6 IPS |
|
|
Machine Translation (SP)
|
100% |
75
1.29 IPS |
|
|
Machine Translation (HP)
|
100% |
63
1.08 IPS |
|
|
Machine Translation (Q)
|
41% |
10
0.66 IPS |
