Google Pixel 9 Pro Fold
Geekbench AI Score
1505
Single Precision Score
1516
Half Precision Score
2178
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 11:24 PM |
| Views | 1 |
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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1448
269.3 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (Q)
|
100% |
2402
446.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2576
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2913
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2584
3.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
3836
4.55 IPS |
|
|
Object Detection (SP)
|
98% |
786
62.6 IPS |
|
|
Object Detection (HP)
|
98% |
838
66.7 IPS |
|
|
Object Detection (Q)
|
83% |
1138
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1926
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (Q)
|
95% |
3241
38.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2056
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2121
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3290
30.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5081
6.60 IPS |
|
|
Style Transfer (HP)
|
89% |
5108
6.63 IPS |
|
|
Style Transfer (Q)
|
98% |
9939
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1047
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2406
89.1 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.9 IPS |
|
|
Text Classification (HP)
|
99% |
447
596.0 IPS |
|
|
Text Classification (Q)
|
88% |
744
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.6 IPS |
