Nothing Phone (1)
Geekbench AI Score
541
Single Precision Score
784
Half Precision Score
720
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | February 03 2026 03:40 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 778G+ |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing Phone (1) |
| Model ID | Nothing A063 |
| Motherboard | Spacewar |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 7.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
99% |
485
90.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
772
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2478
2.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
4379
5.11 IPS |
|
|
Pose Estimation (Q)
|
97% |
4338
5.08 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
99% |
399
31.6 IPS |
|
|
Object Detection (Q)
|
85% |
386
31.1 IPS |
|
|
Face Detection (SP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
1236
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1495
11.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2406
18.6 IPS |
|
|
Depth Estimation (Q)
|
65% |
2013
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3049
3.92 IPS |
|
|
Style Transfer (HP)
|
100% |
5836
7.50 IPS |
|
|
Style Transfer (Q)
|
98% |
5722
7.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
612
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
836
31.0 IPS |
|
|
Text Classification (SP)
|
35% |
20
197.4 IPS |
|
|
Text Classification (HP)
|
35% |
31
278.0 IPS |
|
|
Text Classification (Q)
|
35% |
31
279.3 IPS |
|
|
Machine Translation (SP)
|
100% |
176
3.03 IPS |
|
|
Machine Translation (HP)
|
97% |
203
3.51 IPS |
|
|
Machine Translation (Q)
|
64% |
162
3.33 IPS |
