Google Pixel Fold
Geekbench AI Score
341
Single Precision Score
2601
Half Precision Score
5674
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 14 2024 10:02 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
216
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
5381
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
8311
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
4831
78.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9018
146.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
374
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
20721
24.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
37499
43.9 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
4421
350.7 IPS |
|
|
Object Detection (Q)
|
87% |
6361
510.3 IPS |
|
|
Face Detection (SP)
|
100% |
496
5.89 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (Q)
|
97% |
30746
366.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
436
3.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
20822
160.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
31850
293.2 IPS |
|
|
Style Transfer (SP)
|
100% |
700
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
693
0.89 IPS |
|
|
Style Transfer (Q)
|
28% |
203
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
223
8.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6078
224.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13310
493.2 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.4 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.6 IPS |
|
|
Text Classification (Q)
|
92% |
2398
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (Q)
|
57% |
305
7.46 IPS |
