alps k6989v1_64
Geekbench AI Score
1126
Single Precision Score
4913
Half Precision Score
4526
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 20 2024 07:21 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | alps k6989v1_64 |
| Model ID | alps k6989v1_64 |
| Motherboard | k6989v1_64 |
| 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 | 14.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1166
216.9 IPS |
|
|
Image Classification (HP)
|
100% |
4099
762.3 IPS |
|
|
Image Classification (Q)
|
99% |
7729
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4173
67.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1839
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8429
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
18542
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
74563
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
709
56.3 IPS |
|
|
Object Detection (HP)
|
100% |
4449
352.9 IPS |
|
|
Object Detection (Q)
|
86% |
5245
421.9 IPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
12191
144.9 IPS |
|
|
Face Detection (Q)
|
97% |
11420
136.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
951
7.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
19297
148.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
32131
305.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2599
3.34 IPS |
|
|
Style Transfer (HP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (Q)
|
30% |
411
6.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2858
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10365
382.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7167
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
90
119.5 IPS |
|
|
Text Classification (HP)
|
97% |
1575
2.11 KIPS |
|
|
Text Classification (Q)
|
73% |
1517
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (HP)
|
100% |
1919
33.1 IPS |
|
|
Machine Translation (Q)
|
60% |
396
8.92 IPS |
