Nothing Phone (2a)
Geekbench AI Score
391
Single Precision Score
1504
Half Precision Score
2429
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
376
70.0 IPS |
|
|
Image Classification (HP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (Q)
|
99% |
4194
782.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1114
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6349
7.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
25639
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (Q)
|
86% |
2207
177.5 IPS |
|
|
Face Detection (SP)
|
28% |
71
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (Q)
|
97% |
6850
81.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
598
4.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
6707
51.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
14333
136.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1117
1.44 IPS |
|
|
Style Transfer (HP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (Q)
|
30% |
439
6.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
2777
404.4 IPS |
|
|
Text Classification (SP)
|
100% |
117
156.5 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.3 IPS |
|
|
Text Classification (Q)
|
93% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.37 IPS |
|
|
Machine Translation (Q)
|
60% |
279
6.29 IPS |
