Google Pixel 9
Geekbench AI Score
335
Single Precision Score
4302
Half Precision Score
7683
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Sn0w0nS |
| Upload Date | December 11 2024 06:34 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
5590
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
6617
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
8604
139.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17791
289.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
352
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
31881
37.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
65714
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
4575
362.9 IPS |
|
|
Object Detection (Q)
|
87% |
6656
534.0 IPS |
|
|
Face Detection (SP)
|
100% |
530
6.30 IPS |
|
|
Face Detection (HP)
|
100% |
16081
191.1 IPS |
|
|
Face Detection (Q)
|
97% |
32809
391.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
434
3.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
32295
248.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
39908
367.4 IPS |
|
|
Style Transfer (SP)
|
100% |
662
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
531
0.68 IPS |
|
|
Style Transfer (Q)
|
73% |
2712
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8974
331.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14370
532.5 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.7 IPS |
|
|
Text Classification (HP)
|
100% |
285
379.9 IPS |
|
|
Text Classification (Q)
|
92% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
57% |
233
5.69 IPS |
