NUU S6601L
Geekbench AI Score
38
Single Precision Score
54
Half Precision Score
51
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 04 2024 06:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | NUU S6601L |
| Model ID | NUU S6601L |
| Motherboard | k65v1_64_bsp_k510 |
| 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 | 2.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
25
4.58 IPS |
|
|
Image Classification (HP)
|
100% |
37
6.84 IPS |
|
|
Image Classification (Q)
|
99% |
36
6.63 IPS |
|
|
Image Segmentation (SP)
|
100% |
39
0.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
48
0.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
47
0.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
30
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
52
0.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
48
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
18
1.43 IPS |
|
|
Object Detection (HP)
|
100% |
26
2.07 IPS |
|
|
Object Detection (Q)
|
85% |
25
2.02 IPS |
|
|
Face Detection (SP)
|
100% |
75
0.89 IPS |
|
|
Face Detection (HP)
|
100% |
100
1.19 IPS |
|
|
Face Detection (Q)
|
97% |
94
1.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
48
0.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
75
0.58 IPS |
|
|
Depth Estimation (Q)
|
63% |
59
0.55 IPS |
|
|
Style Transfer (SP)
|
100% |
96
0.12 IPS |
|
|
Style Transfer (HP)
|
100% |
162
0.21 IPS |
|
|
Style Transfer (Q)
|
98% |
152
0.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21
0.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36
1.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
33
1.21 IPS |
|
|
Text Classification (SP)
|
100% |
34
45.5 IPS |
|
|
Text Classification (HP)
|
100% |
34
45.4 IPS |
|
|
Text Classification (Q)
|
91% |
49
65.2 IPS |
|
|
Machine Translation (SP)
|
100% |
60
1.04 IPS |
|
|
Machine Translation (HP)
|
100% |
60
1.03 IPS |
|
|
Machine Translation (Q)
|
57% |
46
1.12 IPS |
