alps k65v1_64_bsp
Geekbench AI Score
244
Single Precision Score
245
Half Precision Score
282
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 06 2024 01:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | alps k65v1_64_bsp |
| Model ID | alps k65v1_64_bsp |
| Motherboard | k65v1_64_bsp |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 4 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
100% |
193
35.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
312
5.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
616
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
631
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
510
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
83% |
171
13.8 IPS |
|
|
Face Detection (SP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (Q)
|
95% |
568
6.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
386
2.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
347
2.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
459
4.21 IPS |
|
|
Style Transfer (SP)
|
89% |
1152
1.49 IPS |
|
|
Style Transfer (HP)
|
89% |
1150
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1220
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
168
6.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
250
9.28 IPS |
|
|
Text Classification (SP)
|
100% |
100
132.9 IPS |
|
|
Text Classification (HP)
|
100% |
125
166.5 IPS |
|
|
Text Classification (Q)
|
88% |
121
162.9 IPS |
|
|
Machine Translation (SP)
|
100% |
152
2.61 IPS |
|
|
Machine Translation (HP)
|
100% |
155
2.67 IPS |
|
|
Machine Translation (Q)
|
50% |
65
2.30 IPS |
