Nothing Phone (2)
Geekbench AI Score
1009
Single Precision Score
1736
Half Precision Score
1537
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 05 2026 08:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
760
141.3 IPS |
|
|
Image Classification (HP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (Q)
|
99% |
999
186.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1970
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4630
5.40 IPS |
|
|
Pose Estimation (HP)
|
99% |
8506
9.93 IPS |
|
|
Pose Estimation (Q)
|
97% |
8370
9.80 IPS |
|
|
Object Detection (SP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (HP)
|
99% |
1020
80.9 IPS |
|
|
Object Detection (Q)
|
85% |
914
73.6 IPS |
|
|
Face Detection (SP)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (Q)
|
97% |
3280
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2456
18.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3842
29.7 IPS |
|
|
Depth Estimation (Q)
|
65% |
3179
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5458
7.02 IPS |
|
|
Style Transfer (HP)
|
100% |
12819
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11962
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2073
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2038
75.5 IPS |
|
|
Text Classification (SP)
|
35% |
34
332.4 IPS |
|
|
Text Classification (HP)
|
35% |
45
407.1 IPS |
|
|
Text Classification (Q)
|
35% |
46
414.4 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (HP)
|
97% |
547
9.46 IPS |
|
|
Machine Translation (Q)
|
64% |
418
8.58 IPS |
