Google Pixel 9 Pro Fold
Geekbench AI Score
388
Single Precision Score
4538
Half Precision Score
8078
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 07:43 AM |
| Views | 1 |
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% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
4922
915.3 IPS |
|
|
Image Classification (Q)
|
99% |
6093
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
8357
135.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17756
288.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
441
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
31664
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
63748
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
4766
378.0 IPS |
|
|
Object Detection (Q)
|
87% |
6801
545.6 IPS |
|
|
Face Detection (SP)
|
100% |
528
6.28 IPS |
|
|
Face Detection (HP)
|
100% |
17284
205.4 IPS |
|
|
Face Detection (Q)
|
97% |
32920
392.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
32353
249.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
38341
352.9 IPS |
|
|
Style Transfer (SP)
|
100% |
711
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
695
0.89 IPS |
|
|
Style Transfer (Q)
|
72% |
3082
4.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9000
332.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15645
579.7 IPS |
|
|
Text Classification (SP)
|
100% |
330
440.4 IPS |
|
|
Text Classification (HP)
|
100% |
333
444.7 IPS |
|
|
Text Classification (Q)
|
92% |
1146
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
530
9.12 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (Q)
|
57% |
362
8.86 IPS |
