Nothing CMF Phone 1
Geekbench AI Score
836
Single Precision Score
837
Half Precision Score
1863
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 10:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 7300 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing CMF Phone 1 |
| Model ID | Nothing A015 |
| Motherboard | Tetris |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 5.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
100% |
1374
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
1551
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1724
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1790
2.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
3504
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (Q)
|
83% |
1298
104.9 IPS |
|
|
Face Detection (SP)
|
100% |
949
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
966
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
2762
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1343
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1415
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3220
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3266
4.24 IPS |
|
|
Style Transfer (HP)
|
89% |
3230
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
7833
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1911
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
482
643.7 IPS |
|
|
Text Classification (HP)
|
100% |
471
628.6 IPS |
|
|
Text Classification (Q)
|
88% |
887
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
442
15.7 IPS |
