Google Pixel 9 Pro Fold
Geekbench AI Score
1120
Single Precision Score
1735
Half Precision Score
1275
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 11:28 PM |
| Views | 1 |
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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (HP)
|
100% |
705
131.2 IPS |
|
|
Image Classification (Q)
|
97% |
465
86.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2033
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5276
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
13159
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12544
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (HP)
|
99% |
1087
86.2 IPS |
|
|
Object Detection (Q)
|
83% |
1028
83.0 IPS |
|
|
Face Detection (SP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
3383
40.2 IPS |
|
|
Face Detection (Q)
|
96% |
2862
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3686
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6203
47.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4991
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8069
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21285
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20336
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2423
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2263
83.9 IPS |
|
|
Text Classification (SP)
|
35% |
21
191.9 IPS |
|
|
Text Classification (HP)
|
35% |
30
275.9 IPS |
|
|
Text Classification (Q)
|
32% |
19
248.9 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.36 IPS |
