alps k6991v1_64_ssdev
Geekbench AI Score
1463
Single Precision Score
1843
Half Precision Score
1543
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:17 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% |
828
154.0 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (Q)
|
97% |
730
136.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2555
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10153
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17249
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16988
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
99% |
979
77.7 IPS |
|
|
Object Detection (Q)
|
83% |
852
68.8 IPS |
|
|
Face Detection (SP)
|
100% |
3366
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
4163
49.5 IPS |
|
|
Face Detection (Q)
|
96% |
3906
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3940
30.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5727
44.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4711
44.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14086
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25510
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24969
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1935
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2441
90.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2255
83.6 IPS |
|
|
Text Classification (SP)
|
35% |
26
239.2 IPS |
|
|
Text Classification (HP)
|
29% |
16
284.1 IPS |
|
|
Text Classification (Q)
|
32% |
21
275.6 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.95 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.62 IPS |
|
|
Machine Translation (Q)
|
43% |
131
7.63 IPS |
