alps k6989v1_64_ssdev
Geekbench AI Score
2598
Single Precision Score
3853
Half Precision Score
3125
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 14 |
| Model | alps k6989v1_64_ssdev |
| Model ID | alps k6989v1_64_ssdev |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 14.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1653
307.5 IPS |
|
|
Image Classification (HP)
|
100% |
2355
438.0 IPS |
|
|
Image Classification (Q)
|
97% |
2279
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3037
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4649
75.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3955
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12506
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
21051
24.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
20906
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
2225
176.5 IPS |
|
|
Object Detection (Q)
|
83% |
2172
175.4 IPS |
|
|
Face Detection (SP)
|
100% |
5102
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
8191
97.3 IPS |
|
|
Face Detection (Q)
|
96% |
6530
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6914
53.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12343
95.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
9672
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16452
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39958
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40082
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3373
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5810
215.3 IPS |
|
|
Text Classification (SP)
|
35% |
78
708.2 IPS |
|
|
Text Classification (HP)
|
29% |
45
782.9 IPS |
|
|
Text Classification (Q)
|
29% |
48
834.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
43% |
308
17.9 IPS |
