OnePlus CPH2491
Geekbench AI Score
533
Single Precision Score
534
Half Precision Score
1082
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fatvenom |
| Upload Date | April 04 2025 10:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (Q)
|
100% |
821
152.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
723
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1205
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1123
1.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
2290
2.72 IPS |
|
|
Object Detection (SP)
|
98% |
253
20.2 IPS |
|
|
Object Detection (HP)
|
98% |
259
20.6 IPS |
|
|
Object Detection (Q)
|
83% |
681
55.0 IPS |
|
|
Face Detection (SP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (HP)
|
100% |
640
7.61 IPS |
|
|
Face Detection (Q)
|
95% |
1410
16.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
861
6.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
862
6.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
1607
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2044
2.65 IPS |
|
|
Style Transfer (HP)
|
89% |
2056
2.67 IPS |
|
|
Style Transfer (Q)
|
98% |
6279
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1240
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
243
324.6 IPS |
|
|
Text Classification (HP)
|
99% |
270
360.2 IPS |
|
|
Text Classification (Q)
|
88% |
507
683.9 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.54 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
50% |
267
9.46 IPS |
