alps k6989v1_64_ssdev
Geekbench AI Score
1586
Single Precision Score
2109
Half Precision Score
1691
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:10 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% |
825
153.5 IPS |
|
|
Image Classification (HP)
|
100% |
1030
191.6 IPS |
|
|
Image Classification (Q)
|
97% |
874
163.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3174
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11479
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16441
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15337
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
950
75.4 IPS |
|
|
Object Detection (HP)
|
99% |
1188
94.2 IPS |
|
|
Object Detection (Q)
|
83% |
1197
96.7 IPS |
|
|
Face Detection (SP)
|
100% |
3421
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
4129
49.1 IPS |
|
|
Face Detection (Q)
|
96% |
3315
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4424
34.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7220
55.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
5964
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15341
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35720
45.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32554
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3568
132.2 IPS |
|
|
Text Classification (SP)
|
35% |
26
238.7 IPS |
|
|
Text Classification (HP)
|
29% |
16
270.3 IPS |
|
|
Text Classification (Q)
|
29% |
13
229.9 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (Q)
|
43% |
126
7.35 IPS |
