Google Pixel 8 Pro
Geekbench AI Score
427
Single Precision Score
4456
Half Precision Score
7806
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 11:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 8 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
5566
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
6060
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
7897
128.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15657
254.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
448
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
30861
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
62836
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
3975
315.3 IPS |
|
|
Object Detection (Q)
|
87% |
5491
440.5 IPS |
|
|
Face Detection (SP)
|
100% |
643
7.65 IPS |
|
|
Face Detection (HP)
|
100% |
13307
158.1 IPS |
|
|
Face Detection (Q)
|
97% |
29445
351.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
553
4.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
29330
226.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
33127
305.0 IPS |
|
|
Style Transfer (SP)
|
100% |
853
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
846
1.09 IPS |
|
|
Style Transfer (Q)
|
72% |
2887
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8462
312.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14774
547.4 IPS |
|
|
Text Classification (SP)
|
100% |
379
506.0 IPS |
|
|
Text Classification (HP)
|
100% |
380
507.1 IPS |
|
|
Text Classification (Q)
|
92% |
1667
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (Q)
|
57% |
370
9.05 IPS |
