alps k6989v1_64_ssdev
Geekbench AI Score
2390
Single Precision Score
3424
Half Precision Score
2796
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:14 AM |
| Views | 4 |
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% |
1545
287.2 IPS |
|
|
Image Classification (HP)
|
100% |
1854
344.8 IPS |
|
|
Image Classification (Q)
|
97% |
1716
320.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3021
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4544
73.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3678
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12485
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19451
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
20698
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
99% |
1901
150.8 IPS |
|
|
Object Detection (Q)
|
83% |
1853
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
4771
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
7836
93.1 IPS |
|
|
Face Detection (Q)
|
96% |
6364
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6467
49.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11147
86.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
8492
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16250
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39135
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
38059
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3063
113.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4955
183.6 IPS |
|
|
Text Classification (SP)
|
35% |
57
517.7 IPS |
|
|
Text Classification (HP)
|
29% |
36
621.5 IPS |
|
|
Text Classification (Q)
|
29% |
43
738.2 IPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (Q)
|
43% |
276
16.0 IPS |
