alps k6991v1_64_ssdev
Geekbench AI Score
1919
Single Precision Score
2612
Half Precision Score
2183
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:01 AM |
| Views | 1 |
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% |
1029
191.4 IPS |
|
|
Image Classification (HP)
|
100% |
1110
206.4 IPS |
|
|
Image Classification (Q)
|
97% |
1046
195.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2721
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4000
64.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3828
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11943
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20228
23.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
19375
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (HP)
|
99% |
1224
97.1 IPS |
|
|
Object Detection (Q)
|
83% |
1211
97.8 IPS |
|
|
Face Detection (SP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
4909
58.3 IPS |
|
|
Face Detection (Q)
|
96% |
4334
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6288
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10365
80.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
6903
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16599
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34428
44.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32155
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2568
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3517
129.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3393
125.7 IPS |
|
|
Text Classification (SP)
|
35% |
31
281.2 IPS |
|
|
Text Classification (HP)
|
29% |
26
442.7 IPS |
|
|
Text Classification (Q)
|
32% |
40
510.1 IPS |
|
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
43% |
201
11.7 IPS |
