OnePlus CPH2491
Geekbench AI Score
2194
Single Precision Score
2119
Half Precision Score
3328
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 07:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2491 |
| Model ID | OnePlus CPH2491 |
| Motherboard | k6983v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1558
289.8 IPS |
|
|
Image Classification (HP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (Q)
|
100% |
1845
343.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2723
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3360
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3239
3.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
7194
8.53 IPS |
|
|
Object Detection (SP)
|
98% |
1574
125.3 IPS |
|
|
Object Detection (HP)
|
98% |
1537
122.3 IPS |
|
|
Object Detection (Q)
|
83% |
2349
189.8 IPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (Q)
|
95% |
5273
63.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3498
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3492
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5764
52.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7514
9.75 IPS |
|
|
Style Transfer (HP)
|
89% |
7469
9.70 IPS |
|
|
Style Transfer (Q)
|
98% |
15077
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3929
145.6 IPS |
|
|
Text Classification (SP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1360
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
803
28.5 IPS |
