alps k6991v1_64_ssdev
Geekbench AI Score
1969
Single Precision Score
2624
Half Precision Score
2217
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:22 AM |
| Views | 4 |
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% |
1227
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
1152
214.3 IPS |
|
|
Image Classification (Q)
|
97% |
1213
226.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2612
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4003
64.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3939
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12121
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20916
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
19421
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (HP)
|
99% |
1236
98.0 IPS |
|
|
Object Detection (Q)
|
83% |
1189
96.0 IPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5082
60.4 IPS |
|
|
Face Detection (Q)
|
96% |
4313
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5389
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8334
64.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
8243
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16655
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33380
42.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35144
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2601
96.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3701
136.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3415
126.5 IPS |
|
|
Text Classification (SP)
|
35% |
39
356.0 IPS |
|
|
Text Classification (HP)
|
29% |
25
432.3 IPS |
|
|
Text Classification (Q)
|
32% |
32
407.3 IPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
43% |
191
11.1 IPS |
