Google Pixel Fold
Geekbench AI Score
303
Single Precision Score
2238
Half Precision Score
6162
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | casperswift |
| Upload Date | October 05 2024 03:26 PM |
| Views | 7 |
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% |
214
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
4693
872.8 IPS |
|
|
Image Classification (Q)
|
99% |
7263
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
4575
74.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7881
128.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
328
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
16537
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30112
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
3783
300.1 IPS |
|
|
Object Detection (Q)
|
87% |
5243
420.6 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (HP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (Q)
|
97% |
25993
309.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
374
2.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
17931
138.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
26822
246.9 IPS |
|
|
Style Transfer (SP)
|
100% |
615
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
590
0.76 IPS |
|
|
Style Transfer (Q)
|
58% |
2065
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10868
402.7 IPS |
|
|
Text Classification (SP)
|
100% |
255
340.2 IPS |
|
|
Text Classification (HP)
|
100% |
264
353.0 IPS |
|
|
Text Classification (Q)
|
92% |
2069
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
418
7.19 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (Q)
|
57% |
270
6.59 IPS |
