alps k6991v1_64_ssdev
Geekbench AI Score
1346
Single Precision Score
1669
Half Precision Score
1406
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:06 AM |
| Views | 1 |
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% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
729
135.7 IPS |
|
|
Image Classification (Q)
|
97% |
653
121.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2398
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10866
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16535
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16521
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (HP)
|
99% |
769
61.0 IPS |
|
|
Object Detection (Q)
|
83% |
763
61.6 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
3805
45.2 IPS |
|
|
Face Detection (Q)
|
96% |
3373
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3704
28.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5417
41.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4362
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14390
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24404
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23686
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1781
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2198
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2111
78.2 IPS |
|
|
Text Classification (SP)
|
35% |
22
202.9 IPS |
|
|
Text Classification (HP)
|
29% |
14
236.2 IPS |
|
|
Text Classification (Q)
|
32% |
18
229.6 IPS |
|
|
Machine Translation (SP)
|
100% |
425
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
43% |
116
6.74 IPS |
