Google Pixel 9 Pro Fold
Geekbench AI Score
379
Single Precision Score
4919
Half Precision Score
9910
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 04:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
276
51.2 IPS |
|
|
Image Classification (HP)
|
100% |
6613
1.23 KIPS |
|
|
Image Classification (Q)
|
99% |
11118
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
338
5.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
9133
148.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18385
299.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
32101
37.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
65823
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
5721
453.8 IPS |
|
|
Object Detection (Q)
|
87% |
8270
663.4 IPS |
|
|
Face Detection (SP)
|
100% |
523
6.21 IPS |
|
|
Face Detection (HP)
|
100% |
17370
206.4 IPS |
|
|
Face Detection (Q)
|
97% |
36667
437.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
474
3.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
35849
276.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
42283
389.2 IPS |
|
|
Style Transfer (SP)
|
100% |
627
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
635
0.82 IPS |
|
|
Style Transfer (Q)
|
73% |
3235
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10291
380.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19258
713.6 IPS |
|
|
Text Classification (SP)
|
100% |
342
456.1 IPS |
|
|
Text Classification (HP)
|
100% |
361
481.7 IPS |
|
|
Text Classification (Q)
|
92% |
2395
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
561
9.67 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (Q)
|
57% |
355
8.68 IPS |
