Google Pixel 9 Pro Fold
Geekbench AI Score
1088
Single Precision Score
1098
Half Precision Score
1618
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | casperswift |
| Upload Date | November 01 2024 12:03 AM |
| Views | 4 |
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% |
1167
217.0 IPS |
|
|
Image Classification (HP)
|
100% |
1498
278.5 IPS |
|
|
Image Classification (Q)
|
100% |
1984
368.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2164
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2364
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1540
1.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
2891
3.43 IPS |
|
|
Object Detection (SP)
|
98% |
530
42.2 IPS |
|
|
Object Detection (HP)
|
98% |
553
44.0 IPS |
|
|
Object Detection (Q)
|
83% |
833
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
1179
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (Q)
|
95% |
2231
26.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1396
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1412
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2236
20.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3230
4.19 IPS |
|
|
Style Transfer (HP)
|
89% |
3261
4.23 IPS |
|
|
Style Transfer (Q)
|
98% |
6508
8.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1643
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.0 IPS |
|
|
Text Classification (HP)
|
99% |
315
419.8 IPS |
|
|
Text Classification (Q)
|
88% |
499
672.9 IPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
50% |
449
16.0 IPS |
