OPPO CPH2659
Geekbench AI Score
1232
Single Precision Score
8608
Half Precision Score
11994
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 08:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1099
204.3 IPS |
|
|
Image Classification (HP)
|
100% |
4699
873.8 IPS |
|
|
Image Classification (Q)
|
99% |
13011
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4292
69.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2071
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10450
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21038
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
86003
100.8 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
100% |
5196
412.2 IPS |
|
|
Object Detection (Q)
|
86% |
5878
472.8 IPS |
|
|
Face Detection (SP)
|
100% |
3589
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
13326
158.3 IPS |
|
|
Face Detection (Q)
|
97% |
14668
174.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1131
8.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
21249
163.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
37209
353.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3420
4.40 IPS |
|
|
Style Transfer (HP)
|
100% |
66691
85.7 IPS |
|
|
Style Transfer (Q)
|
98% |
234721
302.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2762
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12362
456.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37013
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
121
161.7 IPS |
|
|
Text Classification (HP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2398
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (HP)
|
100% |
1806
31.1 IPS |
|
|
Machine Translation (Q)
|
60% |
398
8.96 IPS |
