OPPO CPH2651
Geekbench AI Score
1385
Single Precision Score
9567
Half Precision Score
13168
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 06:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2651 |
| Model ID | OPPO CPH2651 |
| 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% |
1173
218.1 IPS |
|
|
Image Classification (HP)
|
100% |
5042
937.6 IPS |
|
|
Image Classification (Q)
|
99% |
13697
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4862
78.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2198
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10624
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21715
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
87785
102.9 IPS |
|
|
Object Detection (SP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (HP)
|
100% |
5722
453.8 IPS |
|
|
Object Detection (Q)
|
86% |
7123
573.0 IPS |
|
|
Face Detection (SP)
|
100% |
3743
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
14641
174.0 IPS |
|
|
Face Detection (Q)
|
97% |
15780
188.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1291
9.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
22361
172.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
38319
363.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3784
4.86 IPS |
|
|
Style Transfer (HP)
|
100% |
68116
87.6 IPS |
|
|
Style Transfer (Q)
|
98% |
238919
308.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2857
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12918
477.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39988
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
134
178.9 IPS |
|
|
Text Classification (HP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2844
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (HP)
|
100% |
2528
43.6 IPS |
|
|
Machine Translation (Q)
|
60% |
507
11.4 IPS |
