Google Pixel Fold
Geekbench AI Score
814
Single Precision Score
768
Half Precision Score
1349
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | casperswift |
| Upload Date | November 01 2024 12:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
497
92.4 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
100% |
1400
260.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
592
9.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1556
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2132
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1451
1.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
2000
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
83% |
853
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1149
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
2336
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1516
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1322
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2144
19.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2667
3.46 IPS |
|
|
Style Transfer (HP)
|
89% |
2644
3.43 IPS |
|
|
Style Transfer (Q)
|
98% |
5081
6.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1290
47.8 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.5 IPS |
|
|
Text Classification (HP)
|
100% |
340
454.3 IPS |
|
|
Text Classification (Q)
|
88% |
545
734.8 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.79 IPS |
|
|
Machine Translation (Q)
|
50% |
302
10.7 IPS |
