Google Pixel Fold
Geekbench AI Score
515
Single Precision Score
606
Half Precision Score
602
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | October 12 2024 04:33 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel Fold |
| Model ID | Google Pixel Fold |
| Motherboard | felix |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (Q)
|
99% |
265
49.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
618
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
214
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
83% |
295
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
1124
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
754
5.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
906
6.98 IPS |
|
|
Depth Estimation (Q)
|
62% |
733
6.94 IPS |
|
|
Style Transfer (SP)
|
100% |
2001
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
2576
3.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2560
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
447
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
318
423.9 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.8 IPS |
|
|
Text Classification (Q)
|
91% |
547
735.4 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (Q)
|
57% |
334
8.17 IPS |
