alps k6991v1_64
Geekbench AI Score
1332
Single Precision Score
1688
Half Precision Score
1418
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 05:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | alps k6991v1_64 |
| Model ID | alps k6991v1_64 |
| Motherboard | k6991v1_64 |
| 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 | 14.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
540
100.4 IPS |
|
|
Image Classification (HP)
|
100% |
752
139.8 IPS |
|
|
Image Classification (Q)
|
97% |
670
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2563
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9816
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16382
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15898
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (HP)
|
99% |
744
59.0 IPS |
|
|
Object Detection (Q)
|
83% |
719
58.1 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
3674
43.7 IPS |
|
|
Face Detection (Q)
|
96% |
3693
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4440
34.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5479
42.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4582
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13755
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26986
34.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25436
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2196
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2074
76.9 IPS |
|
|
Text Classification (SP)
|
35% |
22
196.8 IPS |
|
|
Text Classification (HP)
|
29% |
13
221.9 IPS |
|
|
Text Classification (Q)
|
32% |
17
221.1 IPS |
|
|
Machine Translation (SP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
43% |
111
6.45 IPS |
