Google Google Pixel Slate
Geekbench AI Score
91
Single Precision Score
92
Half Precision Score
42
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 30 2024 02:53 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Google Pixel Slate |
| Model ID | Google Google Pixel Slate |
| Motherboard | nocturne |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 14.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
57
10.5 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.7 IPS |
|
|
Image Classification (Q)
|
99% |
26
4.89 IPS |
|
|
Image Segmentation (SP)
|
100% |
72
1.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
72
1.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
30
0.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
96
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
96
0.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
61
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
41
3.27 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.33 IPS |
|
|
Object Detection (Q)
|
87% |
21
1.66 IPS |
|
|
Face Detection (SP)
|
100% |
153
1.81 IPS |
|
|
Face Detection (HP)
|
100% |
161
1.91 IPS |
|
|
Face Detection (Q)
|
97% |
57
0.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
129
0.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
127
0.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
61
0.55 IPS |
|
|
Style Transfer (SP)
|
100% |
229
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
233
0.30 IPS |
|
|
Style Transfer (Q)
|
98% |
164
0.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60
2.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60
2.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
33
1.24 IPS |
|
|
Text Classification (SP)
|
100% |
72
95.7 IPS |
|
|
Text Classification (HP)
|
100% |
71
95.4 IPS |
|
|
Text Classification (Q)
|
91% |
29
39.3 IPS |
|
|
Machine Translation (SP)
|
100% |
133
2.29 IPS |
|
|
Machine Translation (HP)
|
100% |
133
2.29 IPS |
|
|
Machine Translation (Q)
|
57% |
35
0.85 IPS |
