Getac ZX80
Geekbench AI Score
57
Single Precision Score
57
Half Precision Score
148
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 21 2024 07:53 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Getac ZX80 |
| Model ID | Getac ZX80 |
| Motherboard | lahaina |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.71 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
33
6.09 IPS |
|
|
Image Classification (HP)
|
100% |
33
6.18 IPS |
|
|
Image Classification (Q)
|
97% |
99
18.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
44
0.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
45
0.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
90
1.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
53
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
53
0.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
269
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
34
2.70 IPS |
|
|
Object Detection (HP)
|
100% |
34
2.72 IPS |
|
|
Object Detection (Q)
|
89% |
110
8.80 IPS |
|
|
Face Detection (SP)
|
100% |
79
0.93 IPS |
|
|
Face Detection (HP)
|
100% |
80
0.95 IPS |
|
|
Face Detection (Q)
|
97% |
210
2.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
72
0.55 IPS |
|
|
Depth Estimation (HP)
|
100% |
73
0.56 IPS |
|
|
Depth Estimation (Q)
|
73% |
206
1.69 IPS |
|
|
Style Transfer (SP)
|
100% |
139
0.18 IPS |
|
|
Style Transfer (HP)
|
100% |
139
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
385
0.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41
1.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42
1.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
151
5.60 IPS |
|
|
Text Classification (SP)
|
100% |
52
68.8 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.6 IPS |
|
|
Text Classification (Q)
|
91% |
98
132.3 IPS |
|
|
Machine Translation (SP)
|
100% |
89
1.53 IPS |
|
|
Machine Translation (HP)
|
100% |
89
1.53 IPS |
|
|
Machine Translation (Q)
|
57% |
80
1.95 IPS |
