Google Pixel 9 Pro Fold
Geekbench AI Score
1369
Single Precision Score
1389
Half Precision Score
2030
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 05:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1563
290.6 IPS |
|
|
Image Classification (HP)
|
100% |
1541
286.5 IPS |
|
|
Image Classification (Q)
|
100% |
2284
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2186
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1975
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3211
3.81 IPS |
|
|
Object Detection (SP)
|
98% |
680
54.1 IPS |
|
|
Object Detection (HP)
|
98% |
984
78.3 IPS |
|
|
Object Detection (Q)
|
83% |
1398
112.9 IPS |
|
|
Face Detection (SP)
|
100% |
2140
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2155
25.6 IPS |
|
|
Face Detection (Q)
|
95% |
3321
39.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2128
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2180
16.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3324
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5006
6.50 IPS |
|
|
Style Transfer (HP)
|
89% |
4966
6.45 IPS |
|
|
Style Transfer (Q)
|
98% |
7485
9.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
765
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1721
63.8 IPS |
|
|
Text Classification (SP)
|
100% |
330
440.0 IPS |
|
|
Text Classification (HP)
|
99% |
330
440.8 IPS |
|
|
Text Classification (Q)
|
88% |
774
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
483
17.1 IPS |
