Google Pixel Fold
Geekbench AI Score
769
Single Precision Score
724
Half Precision Score
1272
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 08:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
100% |
1522
283.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
1580
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2101
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1554
1.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
1873
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
83% |
805
65.1 IPS |
|
|
Face Detection (SP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
958
11.4 IPS |
|
|
Face Detection (Q)
|
95% |
1962
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1355
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1136
8.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1866
17.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2425
3.15 IPS |
|
|
Style Transfer (HP)
|
89% |
2426
3.15 IPS |
|
|
Style Transfer (Q)
|
98% |
4920
6.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
704
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1162
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
323
430.8 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.1 IPS |
|
|
Text Classification (Q)
|
88% |
492
664.0 IPS |
|
|
Machine Translation (SP)
|
100% |
520
8.97 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (Q)
|
50% |
299
10.6 IPS |
