Google Pixel C
Geekbench AI Score
12
Single Precision Score
12
Half Precision Score
7
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 22 2024 11:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | NVIDIA Tegra X1 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Pixel C |
| Model ID | google Pixel C |
| Motherboard | |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3335 revision 1 |
| Base Frequency | 1.91 GHz |
| Cluster 1 | 4 Cores @ 1.91 GHz |
| Memory Information | |
|---|---|
| Size | 2.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
1.29 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.27 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.73 KIPS |
|
|
Image Segmentation (SP)
|
73% |
5838
100.9 IPS |
|
|
Image Segmentation (HP)
|
73% |
6578
113.7 IPS |
|
|
Image Segmentation (Q)
|
73% |
17115
295.8 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
133.3 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
133.7 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.06 KIPS |
|
|
Object Detection (SP)
|
0% |
0
174.2 IPS |
|
|
Object Detection (HP)
|
0% |
0
170.3 IPS |
|
|
Object Detection (Q)
|
0% |
0
445.3 IPS |
|
|
Face Detection (SP)
|
0% |
0
184.7 IPS |
|
|
Face Detection (HP)
|
0% |
0
184.5 IPS |
|
|
Face Detection (Q)
|
0% |
0
311.2 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
169.2 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
171.9 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
386.8 IPS |
|
|
Style Transfer (SP)
|
32% |
60670
761.0 IPS |
|
|
Style Transfer (HP)
|
32% |
60877
763.6 IPS |
|
|
Style Transfer (Q)
|
0% |
0
845.7 IPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
141
1.66 KIPS |
|
|
Text Classification (SP)
|
29% |
296
5.11 KIPS |
|
|
Text Classification (HP)
|
29% |
294
5.08 KIPS |
|
|
Text Classification (Q)
|
29% |
195
3.38 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
1.25 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.15 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.99 IPS |
