alps k6991v1_64_ssdev
Geekbench AI Score
1988
Single Precision Score
2704
Half Precision Score
2310
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:18 AM |
| Views | 3 |
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% |
886
164.8 IPS |
|
|
Image Classification (HP)
|
100% |
1376
256.0 IPS |
|
|
Image Classification (Q)
|
97% |
1209
225.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3300
53.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3207
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11581
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19251
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
19863
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
99% |
1505
119.4 IPS |
|
|
Object Detection (Q)
|
83% |
1328
107.2 IPS |
|
|
Face Detection (SP)
|
100% |
4208
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
6108
72.6 IPS |
|
|
Face Detection (Q)
|
96% |
5568
66.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5689
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8025
62.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
8110
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16845
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35635
45.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33477
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3977
147.4 IPS |
|
|
Text Classification (SP)
|
35% |
47
431.5 IPS |
|
|
Text Classification (HP)
|
29% |
28
483.8 IPS |
|
|
Text Classification (Q)
|
32% |
36
468.0 IPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
43% |
196
11.4 IPS |
