Google Pixel 9 Pro
Geekbench AI Score
263
Single Precision Score
4064
Half Precision Score
7634
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kelvan |
| Upload Date | June 26 2025 09:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| 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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.1 IPS |
|
|
Image Classification (HP)
|
100% |
5641
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
9397
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
7491
121.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17090
277.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
31183
36.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
62492
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
4672
370.6 IPS |
|
|
Object Detection (Q)
|
87% |
6058
486.0 IPS |
|
|
Face Detection (SP)
|
100% |
385
4.57 IPS |
|
|
Face Detection (HP)
|
100% |
15948
189.5 IPS |
|
|
Face Detection (Q)
|
97% |
27608
329.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
367
2.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
31134
239.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
37314
343.5 IPS |
|
|
Style Transfer (SP)
|
100% |
496
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (Q)
|
73% |
2147
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
186
6.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8432
311.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14990
555.4 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.7 IPS |
|
|
Text Classification (HP)
|
100% |
250
334.0 IPS |
|
|
Text Classification (Q)
|
92% |
1427
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
57% |
234
5.72 IPS |
