Google Pixel C
Geekbench AI Score
209
Single Precision Score
262
Half Precision Score
270
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 22 2024 11:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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)
|
100% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
99% |
192
35.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
320
5.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
327
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
463
0.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
448
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
88% |
168
13.5 IPS |
|
|
Face Detection (SP)
|
100% |
452
5.38 IPS |
|
|
Face Detection (HP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (Q)
|
96% |
598
7.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
448
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
636
4.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
541
4.92 IPS |
|
|
Style Transfer (SP)
|
100% |
981
1.26 IPS |
|
|
Style Transfer (HP)
|
100% |
1413
1.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1451
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
266
9.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
258
9.58 IPS |
|
|
Text Classification (SP)
|
100% |
32
43.2 IPS |
|
|
Text Classification (HP)
|
100% |
35
46.7 IPS |
|
|
Text Classification (Q)
|
91% |
69
92.1 IPS |
|
|
Machine Translation (SP)
|
100% |
55
0.95 IPS |
|
|
Machine Translation (HP)
|
100% |
60
1.03 IPS |
|
|
Machine Translation (Q)
|
57% |
54
1.31 IPS |
