Google Pixel Fold
Geekbench AI Score
520
Single Precision Score
609
Half Precision Score
601
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 14 2024 09:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
99% |
235
43.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
455
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
620
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
83% |
318
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
1181
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
767
5.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
900
6.93 IPS |
|
|
Depth Estimation (Q)
|
62% |
732
6.93 IPS |
|
|
Style Transfer (SP)
|
100% |
2022
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2582
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
2561
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
459
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
332
443.2 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.2 IPS |
|
|
Text Classification (Q)
|
91% |
550
739.0 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.79 IPS |
