Google strongbad
Geekbench AI Score
541
Single Precision Score
539
Half Precision Score
1011
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yopology |
| Upload Date | December 08 2024 03:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google strongbad |
| Model ID | Google strongbad |
| Motherboard | coachz |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (Q)
|
100% |
673
125.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
755
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1215
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1206
1.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
1774
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
83% |
687
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
95% |
1555
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
975
7.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
970
7.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1628
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2023
2.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2019
2.62 IPS |
|
|
Style Transfer (Q)
|
98% |
4101
5.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
976
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
280
374.1 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.6 IPS |
|
|
Text Classification (Q)
|
88% |
521
702.4 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.1 IPS |
