Google Pixel 9 Pro
Geekbench AI Score
394
Single Precision Score
4600
Half Precision Score
9359
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | April 03 2025 01:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
6340
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
8349
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
8122
131.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17288
281.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
443
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
32068
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
65286
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
5533
438.9 IPS |
|
|
Object Detection (Q)
|
87% |
7802
625.8 IPS |
|
|
Face Detection (SP)
|
100% |
634
7.53 IPS |
|
|
Face Detection (HP)
|
100% |
17055
202.6 IPS |
|
|
Face Detection (Q)
|
97% |
34894
416.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
548
4.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
34896
268.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
41809
384.9 IPS |
|
|
Style Transfer (SP)
|
100% |
825
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
810
1.04 IPS |
|
|
Style Transfer (Q)
|
72% |
3294
4.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10354
382.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19290
714.8 IPS |
|
|
Text Classification (SP)
|
100% |
212
282.5 IPS |
|
|
Text Classification (HP)
|
100% |
212
282.5 IPS |
|
|
Text Classification (Q)
|
92% |
2294
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.55 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.07 IPS |
