Nothing Phone (2)
Geekbench AI Score
1308
Single Precision Score
1273
Half Precision Score
3043
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 01:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
618
114.9 IPS |
|
|
Image Classification (HP)
|
100% |
618
114.9 IPS |
|
|
Image Classification (Q)
|
100% |
2243
417.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2439
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2779
3.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
6317
7.49 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
100% |
592
47.0 IPS |
|
|
Object Detection (Q)
|
83% |
2218
179.2 IPS |
|
|
Face Detection (SP)
|
100% |
1800
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1973
23.4 IPS |
|
|
Face Detection (Q)
|
95% |
4841
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2638
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1922
14.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5068
46.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4181
5.43 IPS |
|
|
Style Transfer (HP)
|
89% |
4352
5.65 IPS |
|
|
Style Transfer (Q)
|
98% |
13032
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3394
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.5 IPS |
|
|
Text Classification (HP)
|
100% |
632
844.1 IPS |
|
|
Text Classification (Q)
|
88% |
1149
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
713
25.3 IPS |
