Nothing Phone (2a)
Geekbench AI Score
708
Single Precision Score
1165
Half Precision Score
951
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | MediaTek Dimensity 7200 Pro |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
533
99.1 IPS |
|
|
Image Classification (HP)
|
100% |
779
144.9 IPS |
|
|
Image Classification (Q)
|
97% |
667
124.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1356
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2812
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6149
7.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
5977
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (HP)
|
99% |
694
55.1 IPS |
|
|
Object Detection (Q)
|
83% |
665
53.7 IPS |
|
|
Face Detection (SP)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2319
27.6 IPS |
|
|
Face Detection (Q)
|
96% |
1962
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2031
15.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2038
15.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2722
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4213
5.42 IPS |
|
|
Style Transfer (HP)
|
100% |
11825
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11042
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
949
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1599
59.3 IPS |
|
|
Text Classification (SP)
|
35% |
17
156.2 IPS |
|
|
Text Classification (HP)
|
35% |
17
153.5 IPS |
|
|
Text Classification (Q)
|
32% |
12
160.8 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
43% |
150
8.73 IPS |
