Cisco CP-860
Geekbench AI Score
35
Single Precision Score
35
Half Precision Score
50
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 11:26 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm UNKNOWN |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Cisco CP-860 |
| Model ID | Cisco CP-860 |
| Motherboard | saturn |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm UNKNOWN |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 4 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17
3.10 IPS |
|
|
Image Classification (HP)
|
100% |
17
3.11 IPS |
|
|
Image Classification (Q)
|
99% |
25
4.74 IPS |
|
|
Image Segmentation (SP)
|
100% |
22
0.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
22
0.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
31
0.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
34
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
37
0.04 IPS |
|
|
Pose Estimation (Q)
|
98% |
73
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
22
1.72 IPS |
|
|
Object Detection (HP)
|
100% |
22
1.72 IPS |
|
|
Object Detection (Q)
|
87% |
33
2.65 IPS |
|
|
Face Detection (SP)
|
100% |
52
0.62 IPS |
|
|
Face Detection (HP)
|
100% |
52
0.62 IPS |
|
|
Face Detection (Q)
|
97% |
92
1.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
50
0.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
51
0.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
67
0.61 IPS |
|
|
Style Transfer (SP)
|
100% |
94
0.12 IPS |
|
|
Style Transfer (HP)
|
100% |
93
0.12 IPS |
|
|
Style Transfer (Q)
|
98% |
170
0.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26
0.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26
0.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
45
1.66 IPS |
|
|
Text Classification (SP)
|
100% |
31
41.8 IPS |
|
|
Text Classification (HP)
|
100% |
31
41.8 IPS |
|
|
Text Classification (Q)
|
91% |
42
56.0 IPS |
|
|
Machine Translation (SP)
|
100% |
55
0.95 IPS |
|
|
Machine Translation (HP)
|
100% |
54
0.93 IPS |
|
|
Machine Translation (Q)
|
57% |
30
0.72 IPS |
