Nothing A001
Geekbench AI Score
883
Single Precision Score
884
Half Precision Score
2037
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 04:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing A001 |
| Model ID | Nothing A001 |
| Motherboard | Galaga |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
451
83.8 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
100% |
1455
270.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1717
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1935
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1961
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
3807
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
1393
112.5 IPS |
|
|
Face Detection (SP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
3280
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1500
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1489
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3509
32.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3394
4.41 IPS |
|
|
Style Transfer (HP)
|
89% |
3443
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
8624
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2067
76.6 IPS |
|
|
Text Classification (SP)
|
100% |
519
693.0 IPS |
|
|
Text Classification (HP)
|
100% |
502
669.7 IPS |
|
|
Text Classification (Q)
|
88% |
971
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
