Nothing Phone (2)
Geekbench AI Score
292
Single Precision Score
11268
Half Precision Score
29943
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 02 2025 07:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing Phone (2) |
| Model ID | Nothing AIN065 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (HP)
|
100% |
8538
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
24287
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
6735
109.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19253
313.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
349
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
37318
43.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
226387
265.4 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
7869
624.2 IPS |
|
|
Object Detection (Q)
|
88% |
12168
974.8 IPS |
|
|
Face Detection (SP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (HP)
|
100% |
18533
220.2 IPS |
|
|
Face Detection (Q)
|
97% |
73402
875.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
28366
219.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
66780
614.8 IPS |
|
|
Style Transfer (SP)
|
100% |
633
0.81 IPS |
|
|
Style Transfer (HP)
|
98% |
40787
52.6 IPS |
|
|
Style Transfer (Q)
|
98% |
227239
293.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21725
802.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
72263
2.68 KIPS |
|
|
Text Classification (SP)
|
100% |
227
302.6 IPS |
|
|
Text Classification (HP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (Q)
|
94% |
4525
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (HP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (Q)
|
50% |
1235
42.8 IPS |
