alps k6878v1_64_ssdev
Geekbench AI Score
921
Single Precision Score
916
Half Precision Score
2081
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 05:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | alps k6878v1_64_ssdev |
| Model ID | alps k6878v1_64_ssdev |
| Motherboard | k6878v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (Q)
|
100% |
1492
277.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1744
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2018
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3873
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.6 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
83% |
1439
116.2 IPS |
|
|
Face Detection (SP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
3483
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1413
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1432
11.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3523
32.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3596
4.67 IPS |
|
|
Style Transfer (HP)
|
89% |
3584
4.65 IPS |
|
|
Style Transfer (Q)
|
98% |
8681
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
843
31.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2086
77.3 IPS |
|
|
Text Classification (SP)
|
100% |
533
711.2 IPS |
|
|
Text Classification (HP)
|
100% |
524
700.0 IPS |
|
|
Text Classification (Q)
|
88% |
985
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
481
17.1 IPS |
