Google Pixel Fold
Geekbench AI Score
335
Single Precision Score
2642
Half Precision Score
5711
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | October 12 2024 04:43 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
5458
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8482
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
4934
80.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9409
153.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
373
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
20801
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37668
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
4458
353.6 IPS |
|
|
Object Detection (Q)
|
87% |
6266
502.7 IPS |
|
|
Face Detection (SP)
|
100% |
484
5.75 IPS |
|
|
Face Detection (HP)
|
100% |
485
5.77 IPS |
|
|
Face Detection (Q)
|
97% |
29705
354.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
415
3.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
22270
171.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
32407
298.3 IPS |
|
|
Style Transfer (SP)
|
100% |
695
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
691
0.89 IPS |
|
|
Style Transfer (Q)
|
28% |
205
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6143
226.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13404
496.7 IPS |
|
|
Text Classification (SP)
|
100% |
311
414.9 IPS |
|
|
Text Classification (HP)
|
100% |
310
414.3 IPS |
|
|
Text Classification (Q)
|
92% |
2423
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
57% |
306
7.49 IPS |
