alps k6989v1_64
Geekbench AI Score
1902
Single Precision Score
1903
Half Precision Score
2652
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 01:25 AM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1298
241.4 IPS |
|
|
Image Classification (HP)
|
100% |
1290
239.9 IPS |
|
|
Image Classification (Q)
|
100% |
1920
357.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2110
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2808
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
5429
6.44 IPS |
|
|
Object Detection (SP)
|
98% |
1312
104.4 IPS |
|
|
Object Detection (HP)
|
98% |
1319
104.9 IPS |
|
|
Object Detection (Q)
|
83% |
1831
147.9 IPS |
|
|
Face Detection (SP)
|
100% |
2765
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2776
33.0 IPS |
|
|
Face Detection (Q)
|
95% |
4282
51.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3134
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3178
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4438
40.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6715
8.72 IPS |
|
|
Style Transfer (HP)
|
89% |
6758
8.77 IPS |
|
|
Style Transfer (Q)
|
98% |
11738
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2790
103.4 IPS |
|
|
Text Classification (SP)
|
100% |
606
808.4 IPS |
|
|
Text Classification (HP)
|
99% |
605
807.0 IPS |
|
|
Text Classification (Q)
|
88% |
1026
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1529
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
670
23.8 IPS |
