Google Pixel 9
Geekbench AI Score
294
Single Precision Score
3405
Half Precision Score
7925
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 01:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9 |
| Model ID | Google Pixel 9 |
| Motherboard | tokay |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.3 IPS |
|
|
Image Classification (HP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (Q)
|
99% |
6426
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
7656
124.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20865
339.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
376
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31394
36.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62695
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
5025
398.6 IPS |
|
|
Object Detection (Q)
|
87% |
6768
542.9 IPS |
|
|
Face Detection (SP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (HP)
|
100% |
15948
189.5 IPS |
|
|
Face Detection (Q)
|
97% |
30030
358.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
368
2.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
33755
260.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
40220
370.2 IPS |
|
|
Style Transfer (SP)
|
100% |
528
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
523
0.67 IPS |
|
|
Style Transfer (Q)
|
65% |
2346
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
200
7.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8582
316.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18369
680.7 IPS |
|
|
Text Classification (SP)
|
100% |
184
245.2 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.4 IPS |
|
|
Text Classification (Q)
|
92% |
1236
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
411
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.52 IPS |
