alps k6991v1_64_ssdev
Geekbench AI Score
1317
Single Precision Score
1685
Half Precision Score
1430
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:10 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% |
540
100.5 IPS |
|
|
Image Classification (HP)
|
100% |
741
137.8 IPS |
|
|
Image Classification (Q)
|
97% |
664
123.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2460
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10178
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16454
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16603
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
632
50.2 IPS |
|
|
Object Detection (HP)
|
99% |
770
61.1 IPS |
|
|
Object Detection (Q)
|
83% |
785
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
2871
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (Q)
|
96% |
3482
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3669
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5699
44.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4299
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13788
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24728
31.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24222
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1795
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2186
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2108
78.1 IPS |
|
|
Text Classification (SP)
|
35% |
22
201.0 IPS |
|
|
Text Classification (HP)
|
29% |
14
233.6 IPS |
|
|
Text Classification (Q)
|
32% |
19
243.8 IPS |
|
|
Machine Translation (SP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (Q)
|
43% |
116
6.77 IPS |
