Google Google Pixel Slate
Geekbench AI Score
20
Single Precision Score
20
Half Precision Score
11
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 08 2024 06:36 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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)
|
0% |
0
1.45 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.45 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.07 KIPS |
|
|
Image Segmentation (SP)
|
73% |
14940
258.2 IPS |
|
|
Image Segmentation (HP)
|
73% |
15293
264.3 IPS |
|
|
Image Segmentation (Q)
|
73% |
1956
33.8 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
653.5 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
667.7 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
287.4 IPS |
|
|
Object Detection (SP)
|
0% |
0
790.4 IPS |
|
|
Object Detection (HP)
|
0% |
0
822.5 IPS |
|
|
Object Detection (Q)
|
0% |
0
746.2 IPS |
|
|
Face Detection (SP)
|
0% |
0
328.1 IPS |
|
|
Face Detection (HP)
|
0% |
0
357.0 IPS |
|
|
Face Detection (Q)
|
0% |
0
139.9 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
1.00 KIPS |
|
|
Depth Estimation (HP)
|
0% |
0
1.05 KIPS |
|
|
Depth Estimation (Q)
|
0% |
0
953.1 IPS |
|
|
Style Transfer (SP)
|
32% |
96311
1.21 KIPS |
|
|
Style Transfer (HP)
|
32% |
96664
1.21 KIPS |
|
|
Style Transfer (Q)
|
32% |
29948
373.6 IPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
1% |
0
519.3 IPS |
|
|
Text Classification (SP)
|
100% |
74
98.1 IPS |
|
|
Text Classification (HP)
|
100% |
74
98.7 IPS |
|
|
Text Classification (Q)
|
91% |
29
38.4 IPS |
|
|
Machine Translation (SP)
|
100% |
136
2.34 IPS |
|
|
Machine Translation (HP)
|
100% |
137
2.36 IPS |
|
|
Machine Translation (Q)
|
57% |
35
0.86 IPS |
