Nothing Phone (2)
Geekbench AI Score
271
Single Precision Score
11916
Half Precision Score
33243
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 05 2026 09:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
159
29.6 IPS |
|
|
Image Classification (HP)
|
100% |
8351
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
23583
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
6506
105.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
23585
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
278
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
37493
43.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
225678
264.6 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
8010
635.3 IPS |
|
|
Object Detection (Q)
|
87% |
15329
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
437
5.19 IPS |
|
|
Face Detection (HP)
|
100% |
17822
211.8 IPS |
|
|
Face Detection (Q)
|
97% |
69516
828.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
356
2.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
26682
206.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
75117
690.3 IPS |
|
|
Style Transfer (SP)
|
100% |
625
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
38156
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
221922
286.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
175
6.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21884
808.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
72370
2.68 KIPS |
|
|
Text Classification (SP)
|
100% |
226
301.1 IPS |
|
|
Text Classification (HP)
|
100% |
2541
3.39 KIPS |
|
|
Text Classification (Q)
|
94% |
6113
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (HP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (Q)
|
52% |
1671
50.2 IPS |
