Google Pixel 10 Pro
Geekbench AI Score
2578
Single Precision Score
3313
Half Precision Score
4688
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | CatCat |
| Upload Date | April 04 2026 03:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G5 |
| System Information | |
|---|---|
| Operating System | Android 17 |
| Model | Google Pixel 10 Pro |
| Model ID | Google Pixel 10 Pro |
| Motherboard | blazer |
| 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 | 2.25 GHz |
| Cluster 1 | 2 Cores @ 2.25 GHz |
| Cluster 2 | 5 Cores @ 3.05 GHz |
| Cluster 3 | 1 Core @ 3.78 GHz |
| Memory Information | |
|---|---|
| Size | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1868
347.5 IPS |
|
|
Image Classification (HP)
|
100% |
1841
342.5 IPS |
|
|
Image Classification (Q)
|
99% |
3446
642.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4099
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4474
5.22 IPS |
|
|
Pose Estimation (HP)
|
92% |
8733
10.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
10561
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
1808
143.9 IPS |
|
|
Object Detection (HP)
|
97% |
1522
121.2 IPS |
|
|
Object Detection (Q)
|
85% |
3224
259.7 IPS |
|
|
Face Detection (SP)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
4702
55.9 IPS |
|
|
Face Detection (Q)
|
97% |
8118
96.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3995
30.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6048
46.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7595
69.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9870
12.8 IPS |
|
|
Style Transfer (HP)
|
88% |
10308
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20657
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3687
137.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5353
198.3 IPS |
|
|
Text Classification (SP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1465
1.96 KIPS |
|
|
Text Classification (Q)
|
93% |
1475
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1803
31.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1061
28.5 IPS |
