Google Pixel 9 Pro
Geekbench AI Score
217
Single Precision Score
3292
Half Precision Score
6853
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 10:27 AM |
| Views | 2 |
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% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
5107
949.7 IPS |
|
|
Image Classification (Q)
|
99% |
9072
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
7962
129.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17667
287.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
31344
36.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62924
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
4740
376.0 IPS |
|
|
Object Detection (Q)
|
87% |
6340
508.6 IPS |
|
|
Face Detection (SP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (HP)
|
100% |
15692
186.5 IPS |
|
|
Face Detection (Q)
|
97% |
27263
325.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
322
2.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
30604
235.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
34547
318.0 IPS |
|
|
Style Transfer (SP)
|
100% |
296
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
301
0.39 IPS |
|
|
Style Transfer (Q)
|
73% |
1411
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
88
3.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8562
316.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15651
579.9 IPS |
|
|
Text Classification (SP)
|
100% |
111
148.6 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.1 IPS |
|
|
Text Classification (Q)
|
92% |
1313
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
179
3.09 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (Q)
|
57% |
131
3.20 IPS |
