Google Pixel 9 Pro
Geekbench AI Score
2036
Single Precision Score
1979
Half Precision Score
3052
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 09:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| 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% |
1538
286.0 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (Q)
|
100% |
2464
458.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2443
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2960
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2895
3.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
6425
7.62 IPS |
|
|
Object Detection (SP)
|
98% |
1537
122.3 IPS |
|
|
Object Detection (HP)
|
98% |
1423
113.2 IPS |
|
|
Object Detection (Q)
|
83% |
1997
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
4835
57.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3099
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3065
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4880
44.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7100
9.22 IPS |
|
|
Style Transfer (HP)
|
89% |
7021
9.11 IPS |
|
|
Style Transfer (Q)
|
98% |
13883
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1561
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3514
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
669
893.1 IPS |
|
|
Text Classification (HP)
|
99% |
675
900.9 IPS |
|
|
Text Classification (Q)
|
88% |
1142
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1425
24.6 IPS |
|
|
Machine Translation (Q)
|
50% |
692
24.6 IPS |
