Google Pixel Fold
Geekbench AI Score
962
Single Precision Score
940
Half Precision Score
1763
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 12 2024 04:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel Fold |
| Model ID | Google Pixel Fold |
| Motherboard | felix |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (Q)
|
100% |
1393
259.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1665
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2252
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1906
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
2787
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (Q)
|
83% |
1158
93.6 IPS |
|
|
Face Detection (SP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (Q)
|
95% |
3000
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1678
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1652
12.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2938
26.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3576
4.64 IPS |
|
|
Style Transfer (HP)
|
89% |
3446
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
7137
9.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
956
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1792
66.4 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.8 IPS |
|
|
Text Classification (HP)
|
100% |
476
634.8 IPS |
|
|
Text Classification (Q)
|
88% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
433
15.4 IPS |
