Google Pixel 9 Pro Fold
Geekbench AI Score
1123
Single Precision Score
1714
Half Precision Score
1198
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | andritolion |
| Upload Date | March 02 2026 04:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
606
112.6 IPS |
|
|
Image Classification (HP)
|
100% |
707
131.5 IPS |
|
|
Image Classification (Q)
|
97% |
524
97.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1281
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5275
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
12955
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12205
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
99% |
979
77.7 IPS |
|
|
Object Detection (Q)
|
83% |
988
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (Q)
|
96% |
2472
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3641
28.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6324
48.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4963
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8010
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21143
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19943
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1883
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2440
90.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2255
83.6 IPS |
|
|
Text Classification (SP)
|
35% |
26
239.2 IPS |
|
|
Text Classification (HP)
|
35% |
28
258.4 IPS |
|
|
Text Classification (Q)
|
32% |
18
232.6 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
365
6.29 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.42 IPS |
