Google Pixel Fold
Geekbench AI Score
545
Single Precision Score
631
Half Precision Score
600
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | casperswift |
| Upload Date | November 01 2024 12:14 AM |
| Views | 3 |
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% |
345
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
99% |
227
42.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
792
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
455
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
622
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
83% |
323
26.1 IPS |
|
|
Face Detection (SP)
|
100% |
1095
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1304
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
1242
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
772
5.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
911
7.02 IPS |
|
|
Depth Estimation (Q)
|
62% |
740
7.01 IPS |
|
|
Style Transfer (SP)
|
100% |
2017
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2596
3.34 IPS |
|
|
Style Transfer (Q)
|
98% |
2586
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
324
432.0 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.6 IPS |
|
|
Text Classification (Q)
|
91% |
537
721.6 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
57% |
288
7.03 IPS |
