Indkal ARSP25MTA14A1
Geekbench AI Score
517
Single Precision Score
488
Half Precision Score
985
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 04:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Indkal ARSP25MTA14A1 |
| Model ID | Indkal ARSP25MTA14A1 |
| Motherboard | k6835v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
100% |
685
127.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
748
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1083
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1714
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
656
53.0 IPS |
|
|
Face Detection (SP)
|
100% |
732
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.68 IPS |
|
|
Face Detection (Q)
|
95% |
1560
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
944
7.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
583
4.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
1566
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1780
2.31 IPS |
|
|
Style Transfer (HP)
|
89% |
1780
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3901
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
944
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.6 IPS |
|
|
Text Classification (HP)
|
100% |
279
371.9 IPS |
|
|
Text Classification (Q)
|
88% |
487
657.4 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (Q)
|
50% |
341
12.1 IPS |
