Google Pixel 9 Pro Fold
Geekbench AI Score
1183
Single Precision Score
1276
Half Precision Score
1892
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | andritolion |
| Upload Date | March 02 2026 04:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9 Pro Fold |
| Model ID | Google Pixel 9 Pro Fold |
| Motherboard | comet |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 15.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1543
287.0 IPS |
|
|
Image Classification (HP)
|
100% |
1143
212.6 IPS |
|
|
Image Classification (Q)
|
99% |
2428
452.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2552
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2679
3.13 IPS |
|
|
Pose Estimation (HP)
|
92% |
3450
4.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
3284
3.85 IPS |
|
|
Object Detection (SP)
|
98% |
502
40.0 IPS |
|
|
Object Detection (HP)
|
97% |
400
31.8 IPS |
|
|
Object Detection (Q)
|
85% |
874
70.4 IPS |
|
|
Face Detection (SP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1814
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
2554
30.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1580
12.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2107
16.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2480
22.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3768
4.89 IPS |
|
|
Style Transfer (HP)
|
88% |
3603
4.68 IPS |
|
|
Style Transfer (Q)
|
98% |
7373
9.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
765
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1202
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1825
67.6 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.1 IPS |
|
|
Text Classification (HP)
|
100% |
464
619.8 IPS |
|
|
Text Classification (Q)
|
93% |
586
786.8 IPS |
|
|
Machine Translation (SP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (HP)
|
96% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
55% |
662
17.8 IPS |
