alps k6989v1_64_pre
Geekbench ML Score
1120
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 15 2024 08:44 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | alps k6989v1_64_pre |
| Model ID | alps k6989v1_64_pre |
| Motherboard | k6989v1_64_pre |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 10.97 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
665
124.5 IPS |
|
|
Image Classification (F16)
|
100% |
707
132.3 IPS |
|
|
Image Classification (I8)
|
97% |
877
164.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
918
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
907
15.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1009
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1152
1.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
1077
1.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
4608
5.58 IPS |
|
|
Object Detection (F32)
|
100% |
616
46.0 IPS |
|
|
Object Detection (F16)
|
100% |
614
45.8 IPS |
|
|
Object Detection (I8)
|
61% |
841
62.8 IPS |
|
|
Face Detection (F32)
|
100% |
1479
17.6 IPS |
|
|
Face Detection (F16)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (I8)
|
86% |
2027
24.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1226
9.51 IPS |
|
|
Depth Estimation (F16)
|
100% |
1242
9.63 IPS |
|
|
Depth Estimation (I8)
|
95% |
1801
14.0 IPS |
|
|
Style Transfer (F32)
|
100% |
1894
2.49 IPS |
|
|
Style Transfer (F16)
|
100% |
1905
2.51 IPS |
|
|
Style Transfer (I8)
|
98% |
4487
5.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
773
27.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
755
27.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2063
73.7 IPS |
|
|
Text Classification (F32)
|
100% |
739
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
750
1.08 KIPS |
|
|
Text Classification (I8)
|
92% |
508
729.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1302
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1303
24.0 IPS |
|
|
Machine Translation (I8)
|
64% |
421
7.75 IPS |
