OPPO CPH2791
Geekbench AI Score
1495
Single Precision Score
1907
Half Precision Score
1598
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 09:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OPPO CPH2791 |
| Model ID | OPPO CPH2791 |
| Motherboard | k6993v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3468 revision 0 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores @ 2.70 GHz |
| Cluster 2 | 3 Cores @ 3.50 GHz |
| Cluster 3 | 1 Core @ 4.21 GHz |
| Memory Information | |
|---|---|
| Size | 14.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (HP)
|
100% |
746
138.7 IPS |
|
|
Image Classification (Q)
|
97% |
787
146.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2661
43.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2197
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11397
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19324
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18055
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (HP)
|
99% |
938
74.4 IPS |
|
|
Object Detection (Q)
|
83% |
846
68.3 IPS |
|
|
Face Detection (SP)
|
100% |
3693
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
4197
49.9 IPS |
|
|
Face Detection (Q)
|
96% |
3988
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4826
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6088
47.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4833
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16374
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26881
34.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27276
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1781
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2833
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2509
93.0 IPS |
|
|
Text Classification (SP)
|
35% |
30
272.6 IPS |
|
|
Text Classification (HP)
|
29% |
19
332.7 IPS |
|
|
Text Classification (Q)
|
32% |
29
376.7 IPS |
|
|
Machine Translation (SP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.28 IPS |
|
|
Machine Translation (Q)
|
43% |
108
6.29 IPS |
