Nothing Phone (2a)
Geekbench AI Score
785
Single Precision Score
797
Half Precision Score
1441
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 04:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 7200 Pro |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing Phone (2a) |
| Model ID | Nothing A142 |
| Motherboard | Pacman |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
618
114.9 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.8 IPS |
|
|
Image Classification (Q)
|
100% |
1084
201.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1077
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1136
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
2888
3.43 IPS |
|
|
Object Detection (SP)
|
98% |
569
45.3 IPS |
|
|
Object Detection (HP)
|
98% |
546
43.5 IPS |
|
|
Object Detection (Q)
|
83% |
893
72.1 IPS |
|
|
Face Detection (SP)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1009
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
2038
24.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1061
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
1127
8.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
2120
19.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2629
3.41 IPS |
|
|
Style Transfer (HP)
|
89% |
2942
3.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6319
8.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1536
56.9 IPS |
|
|
Text Classification (SP)
|
100% |
324
432.2 IPS |
|
|
Text Classification (HP)
|
99% |
321
428.8 IPS |
|
|
Text Classification (Q)
|
88% |
762
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
402
14.3 IPS |
