Google Pixel 9 Pro
Geekbench AI Score
358
Single Precision Score
4317
Half Precision Score
7874
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 06:13 AM |
| Views | 1 |
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% |
276
51.3 IPS |
|
|
Image Classification (HP)
|
100% |
4728
879.3 IPS |
|
|
Image Classification (Q)
|
99% |
5533
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
8451
137.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17697
287.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
436
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
31516
36.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63189
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
5118
405.9 IPS |
|
|
Object Detection (Q)
|
87% |
8536
684.8 IPS |
|
|
Face Detection (SP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (HP)
|
100% |
22028
261.7 IPS |
|
|
Face Detection (Q)
|
97% |
27077
322.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
546
4.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
31822
245.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
40992
377.4 IPS |
|
|
Style Transfer (SP)
|
100% |
719
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
528
0.68 IPS |
|
|
Style Transfer (Q)
|
72% |
2799
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9134
337.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16040
594.4 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.4 IPS |
|
|
Text Classification (HP)
|
100% |
211
281.3 IPS |
|
|
Text Classification (Q)
|
92% |
1253
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.45 IPS |
|
|
Machine Translation (Q)
|
57% |
278
6.78 IPS |
