OPPO CPH2637
Geekbench AI Score
547
Single Precision Score
546
Half Precision Score
1027
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 12:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (Q)
|
100% |
702
130.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
765
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1194
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1184
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1782
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
83% |
700
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
754
8.96 IPS |
|
|
Face Detection (HP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (Q)
|
95% |
1587
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
943
7.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
1635
15.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2013
2.61 IPS |
|
|
Style Transfer (HP)
|
89% |
2013
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
4084
5.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
513
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
995
36.9 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.7 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.0 IPS |
|
|
Text Classification (Q)
|
88% |
525
708.2 IPS |
|
|
Machine Translation (SP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.74 IPS |
|
|
Machine Translation (Q)
|
50% |
355
12.6 IPS |
