OPPO CPH2659
Geekbench AI Score
1555
Single Precision Score
1546
Half Precision Score
1932
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 04:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2659 |
| Model ID | OPPO CPH2659 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 15.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
978
181.9 IPS |
|
|
Image Classification (HP)
|
100% |
956
177.8 IPS |
|
|
Image Classification (Q)
|
100% |
1535
285.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1740
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2353
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
4388
5.20 IPS |
|
|
Object Detection (SP)
|
98% |
936
74.5 IPS |
|
|
Object Detection (HP)
|
98% |
920
73.2 IPS |
|
|
Object Detection (Q)
|
83% |
1277
103.2 IPS |
|
|
Face Detection (SP)
|
100% |
2253
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
2206
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3255
38.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2810
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2811
21.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3423
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5506
7.15 IPS |
|
|
Style Transfer (HP)
|
89% |
5498
7.14 IPS |
|
|
Style Transfer (Q)
|
98% |
9679
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1204
44.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2092
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
531
708.3 IPS |
|
|
Text Classification (HP)
|
99% |
541
721.9 IPS |
|
|
Text Classification (Q)
|
88% |
589
794.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1373
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
366
13.0 IPS |
