Google Pixel 7 Pro
Geekbench AI Score
539
Single Precision Score
634
Half Precision Score
605
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 11:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 7 Pro |
| Model ID | Google Pixel 7 Pro |
| Motherboard | cheetah |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
242
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
99% |
223
41.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
808
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
457
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
621
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
325
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
1242
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
778
6.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
926
7.13 IPS |
|
|
Depth Estimation (Q)
|
62% |
746
7.06 IPS |
|
|
Style Transfer (SP)
|
100% |
2025
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2625
3.37 IPS |
|
|
Style Transfer (Q)
|
98% |
2584
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
397
14.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
480
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.6 IPS |
|
|
Text Classification (HP)
|
100% |
303
405.0 IPS |
|
|
Text Classification (Q)
|
91% |
521
699.9 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
57% |
306
7.47 IPS |
