OPPO CPH2637
Geekbench AI Score
230
Single Precision Score
346
Half Precision Score
201
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 02:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO CPH2637 |
| Model ID | OPPO CPH2637 |
| Motherboard | k6835v2_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
134
25.0 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.2 IPS |
|
|
Image Classification (Q)
|
97% |
54
10.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
88
1.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
930
1.09 IPS |
|
|
Pose Estimation (HP)
|
98% |
2140
2.51 IPS |
|
|
Pose Estimation (Q)
|
70% |
1131
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.58 IPS |
|
|
Object Detection (Q)
|
80% |
87
7.08 IPS |
|
|
Face Detection (SP)
|
28% |
45
8.34 IPS |
|
|
Face Detection (HP)
|
100% |
301
3.57 IPS |
|
|
Face Detection (Q)
|
97% |
135
1.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
378
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
257
1.98 IPS |
|
|
Depth Estimation (Q)
|
57% |
259
2.82 IPS |
|
|
Style Transfer (SP)
|
100% |
726
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
428
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1715
2.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
863
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
439
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
87
116.3 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.7 IPS |
|
|
Text Classification (Q)
|
93% |
85
113.4 IPS |
|
|
Machine Translation (SP)
|
100% |
216
3.73 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
55% |
104
2.76 IPS |
