onn 100110027
Geekbench AI Score
474
Single Precision Score
472
Half Precision Score
921
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | kutztown |
| Upload Date | October 13 2024 11:53 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | onn 100110027 |
| Model ID | onn 100110027 |
| Motherboard | mid1108_ms_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
216
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.2 IPS |
|
|
Image Classification (Q)
|
100% |
638
118.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
684
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1026
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1021
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1628
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
83% |
634
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (HP)
|
100% |
645
7.66 IPS |
|
|
Face Detection (Q)
|
95% |
1423
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
797
6.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
773
5.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
1479
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1697
2.20 IPS |
|
|
Style Transfer (HP)
|
89% |
1749
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3683
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
892
33.1 IPS |
|
|
Text Classification (SP)
|
100% |
268
358.0 IPS |
|
|
Text Classification (HP)
|
100% |
262
350.3 IPS |
|
|
Text Classification (Q)
|
88% |
478
644.5 IPS |
|
|
Machine Translation (SP)
|
100% |
433
7.47 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (Q)
|
50% |
296
10.5 IPS |
