Cisco CP-860
Geekbench AI Score
65
Single Precision Score
95
Half Precision Score
89
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 09:30 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
47
8.74 IPS |
|
|
Image Classification (HP)
|
100% |
77
14.3 IPS |
|
|
Image Classification (Q)
|
97% |
76
14.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
83
1.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
104
1.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
67
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
126
0.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
126
0.15 IPS |
|
|
Object Detection (SP)
|
100% |
37
2.90 IPS |
|
|
Object Detection (HP)
|
100% |
63
5.00 IPS |
|
|
Object Detection (Q)
|
89% |
64
5.09 IPS |
|
|
Face Detection (SP)
|
100% |
151
1.80 IPS |
|
|
Face Detection (HP)
|
100% |
209
2.48 IPS |
|
|
Face Detection (Q)
|
97% |
208
2.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
103
0.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
168
1.30 IPS |
|
|
Depth Estimation (Q)
|
62% |
135
1.28 IPS |
|
|
Style Transfer (SP)
|
100% |
207
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
335
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
333
0.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45
1.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
76
2.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
77
2.84 IPS |
|
|
Text Classification (SP)
|
100% |
24
32.1 IPS |
|
|
Text Classification (HP)
|
100% |
24
31.7 IPS |
|
|
Text Classification (Q)
|
91% |
31
42.1 IPS |
|
|
Machine Translation (SP)
|
100% |
44
0.76 IPS |
|
|
Machine Translation (HP)
|
100% |
44
0.75 IPS |
|
|
Machine Translation (Q)
|
57% |
23
0.57 IPS |
