Nothing CMF Phone 1
Geekbench AI Score
502
Single Precision Score
722
Half Precision Score
603
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
97% |
329
61.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
858
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2142
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3795
4.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
3735
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
99% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
83% |
357
28.8 IPS |
|
|
Face Detection (SP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1622
19.3 IPS |
|
|
Face Detection (Q)
|
96% |
1373
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1315
10.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2177
16.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1673
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3596
4.62 IPS |
|
|
Style Transfer (HP)
|
100% |
6483
8.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6361
8.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
768
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
949
35.2 IPS |
|
|
Text Classification (SP)
|
35% |
11
103.6 IPS |
|
|
Text Classification (HP)
|
29% |
7
123.3 IPS |
|
|
Text Classification (Q)
|
32% |
12
148.6 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.02 IPS |
|
|
Machine Translation (Q)
|
43% |
103
5.98 IPS |
