alps k6991v1_64_ssdev
Geekbench AI Score
1763
Single Precision Score
2322
Half Precision Score
1997
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | alps k6991v1_64_ssdev |
| Model ID | alps k6991v1_64_ssdev |
| Motherboard | k6991v1_64_ssdev |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 14.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (HP)
|
100% |
960
178.6 IPS |
|
|
Image Classification (Q)
|
97% |
933
174.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3213
52.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2977
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11622
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18360
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18311
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.6 IPS |
|
|
Object Detection (HP)
|
99% |
935
74.2 IPS |
|
|
Object Detection (Q)
|
83% |
1057
85.4 IPS |
|
|
Face Detection (SP)
|
100% |
3892
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
5453
64.8 IPS |
|
|
Face Detection (Q)
|
96% |
4981
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5484
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8109
62.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
6273
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15907
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32410
41.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30585
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2999
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3900
144.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3857
142.9 IPS |
|
|
Text Classification (SP)
|
35% |
35
319.3 IPS |
|
|
Text Classification (HP)
|
29% |
22
386.5 IPS |
|
|
Text Classification (Q)
|
32% |
30
392.8 IPS |
|
|
Machine Translation (SP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
43% |
170
9.88 IPS |
