Google Pixel 9 Pro Fold
Geekbench AI Score
334
Single Precision Score
4379
Half Precision Score
7656
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | casperswift |
| Upload Date | November 01 2024 12:26 AM |
| Views | 6 |
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% |
268
49.9 IPS |
|
|
Image Classification (HP)
|
100% |
4707
875.3 IPS |
|
|
Image Classification (Q)
|
99% |
6044
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
9480
153.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17979
292.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
329
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
31697
37.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
63139
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
5124
406.5 IPS |
|
|
Object Detection (Q)
|
87% |
6841
548.8 IPS |
|
|
Face Detection (SP)
|
100% |
393
4.67 IPS |
|
|
Face Detection (HP)
|
100% |
16120
191.5 IPS |
|
|
Face Detection (Q)
|
97% |
31090
370.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
459
3.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
34005
262.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
37159
342.1 IPS |
|
|
Style Transfer (SP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
547
0.70 IPS |
|
|
Style Transfer (Q)
|
72% |
2704
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8924
329.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15091
559.2 IPS |
|
|
Text Classification (SP)
|
100% |
302
402.6 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.3 IPS |
|
|
Text Classification (Q)
|
92% |
1118
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (Q)
|
57% |
280
6.85 IPS |
