Google Pixel 9 Pro XL
Geekbench AI Score
362
Single Precision Score
4134
Half Precision Score
8026
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 12:05 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 XL |
| Model ID | Google Pixel 9 Pro XL |
| Motherboard | komodo |
| 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% |
4696
873.2 IPS |
|
|
Image Classification (Q)
|
99% |
7735
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
8678
140.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17455
283.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
431
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
31604
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
63652
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
5291
419.7 IPS |
|
|
Object Detection (Q)
|
87% |
6522
523.2 IPS |
|
|
Face Detection (SP)
|
100% |
555
6.59 IPS |
|
|
Face Detection (HP)
|
100% |
15965
189.7 IPS |
|
|
Face Detection (Q)
|
97% |
29889
356.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
449
3.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
32780
252.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
37178
342.2 IPS |
|
|
Style Transfer (SP)
|
100% |
524
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
522
0.67 IPS |
|
|
Style Transfer (Q)
|
72% |
2884
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9018
333.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15865
587.9 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.4 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.9 IPS |
|
|
Text Classification (Q)
|
92% |
1173
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (Q)
|
57% |
332
8.11 IPS |
