Nothing CMF Phone 1
Geekbench AI Score
538
Single Precision Score
1317
Half Precision Score
2692
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
420
78.2 IPS |
|
|
Image Classification (HP)
|
100% |
1525
283.6 IPS |
|
|
Image Classification (Q)
|
99% |
4561
850.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2035
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2657
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
6668
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
26975
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (HP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (Q)
|
86% |
2155
173.4 IPS |
|
|
Face Detection (SP)
|
100% |
1295
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (Q)
|
97% |
9186
109.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
6971
53.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
14395
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1675
2.15 IPS |
|
|
Style Transfer (HP)
|
100% |
301
0.39 IPS |
|
|
Style Transfer (Q)
|
30% |
382
5.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
922
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4135
152.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3053
444.7 IPS |
|
|
Text Classification (SP)
|
100% |
73
96.9 IPS |
|
|
Text Classification (HP)
|
100% |
116
155.2 IPS |
|
|
Text Classification (Q)
|
93% |
1306
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
183
3.16 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (Q)
|
53% |
184
5.30 IPS |
