Google Pixel 9
Geekbench AI Score
396
Single Precision Score
5004
Half Precision Score
9961
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | swooned6444 |
| Upload Date | October 18 2025 03:10 PM |
| Views | 8 |
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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
248
46.2 IPS |
|
|
Image Classification (HP)
|
100% |
6461
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
11123
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
8879
143.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19373
315.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
388
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
32790
38.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
65404
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
5460
433.1 IPS |
|
|
Object Detection (Q)
|
87% |
7282
584.2 IPS |
|
|
Face Detection (SP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
16696
198.4 IPS |
|
|
Face Detection (Q)
|
97% |
34733
414.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
34599
266.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
48410
445.6 IPS |
|
|
Style Transfer (SP)
|
100% |
753
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
754
0.97 IPS |
|
|
Style Transfer (Q)
|
72% |
3223
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10313
380.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19075
706.8 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.6 IPS |
|
|
Text Classification (HP)
|
100% |
388
518.3 IPS |
|
|
Text Classification (Q)
|
92% |
2394
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (Q)
|
57% |
379
9.26 IPS |
