alps k6989v1_64_ssdev
Geekbench AI Score
2007
Single Precision Score
2711
Half Precision Score
2156
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | alps k6989v1_64_ssdev |
| Model ID | alps k6989v1_64_ssdev |
| 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 @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 14.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
2100
390.6 IPS |
|
|
Image Classification (Q)
|
97% |
2018
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2898
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4409
71.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3255
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12067
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19987
23.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19029
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (HP)
|
99% |
1298
102.9 IPS |
|
|
Object Detection (Q)
|
83% |
1242
100.3 IPS |
|
|
Face Detection (SP)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (Q)
|
96% |
4233
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6222
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10480
81.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
7918
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15382
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36331
46.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36271
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2752
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3982
147.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3850
142.7 IPS |
|
|
Text Classification (SP)
|
35% |
39
354.1 IPS |
|
|
Text Classification (HP)
|
29% |
18
305.1 IPS |
|
|
Text Classification (Q)
|
29% |
18
305.6 IPS |
|
|
Machine Translation (SP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
43% |
166
9.67 IPS |
