Nothing Phone (2a)
Geekbench AI Score
792
Single Precision Score
775
Half Precision Score
1428
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 09:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
703
130.8 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.8 IPS |
|
|
Image Classification (Q)
|
100% |
1276
237.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1174
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1232
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
2623
3.11 IPS |
|
|
Object Detection (SP)
|
98% |
535
42.6 IPS |
|
|
Object Detection (HP)
|
98% |
511
40.7 IPS |
|
|
Object Detection (Q)
|
83% |
855
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
2002
23.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1092
8.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
1130
8.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
2159
19.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2654
3.45 IPS |
|
|
Style Transfer (HP)
|
89% |
2544
3.30 IPS |
|
|
Style Transfer (Q)
|
98% |
5869
7.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1388
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.9 IPS |
|
|
Text Classification (HP)
|
99% |
285
380.4 IPS |
|
|
Text Classification (Q)
|
88% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
399
14.2 IPS |
