Google brya
Geekbench ML Score
511
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 08:22 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google brya |
| Model ID | Google brya |
| Motherboard | kano |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 16 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 14.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
369
69.1 IPS |
|
|
Image Classification (F16)
|
100% |
366
68.6 IPS |
|
|
Image Classification (I8)
|
97% |
167
31.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
504
8.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
541
9.03 IPS |
|
|
Image Segmentation (I8)
|
98% |
214
3.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
780
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
747
0.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
714
0.86 IPS |
|
|
Object Detection (F32)
|
100% |
429
32.0 IPS |
|
|
Object Detection (F16)
|
100% |
399
29.8 IPS |
|
|
Object Detection (I8)
|
61% |
249
18.6 IPS |
|
|
Face Detection (F32)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (F16)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (I8)
|
86% |
343
4.08 IPS |
|
|
Depth Estimation (F32)
|
100% |
970
7.52 IPS |
|
|
Depth Estimation (F16)
|
100% |
943
7.32 IPS |
|
|
Depth Estimation (I8)
|
95% |
550
4.26 IPS |
|
|
Style Transfer (F32)
|
100% |
1359
1.79 IPS |
|
|
Style Transfer (F16)
|
100% |
1544
2.03 IPS |
|
|
Style Transfer (I8)
|
98% |
1578
2.08 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
507
18.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
515
18.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
259
9.25 IPS |
|
|
Text Classification (F32)
|
100% |
495
711.0 IPS |
|
|
Text Classification (F16)
|
100% |
489
702.8 IPS |
|
|
Text Classification (I8)
|
92% |
92
132.4 IPS |
|
|
Machine Translation (F32)
|
100% |
642
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
655
12.1 IPS |
|
|
Machine Translation (I8)
|
64% |
189
3.47 IPS |
