Google Pixel 7 Pro
Geekbench AI Score
534
Single Precision Score
625
Half Precision Score
603
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 15 2025 02:08 PM |
| Views | 1 |
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% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.2 IPS |
|
|
Image Classification (Q)
|
99% |
235
43.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
809
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
619
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
618
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
83% |
324
26.2 IPS |
|
|
Face Detection (SP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
1154
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
753
5.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
898
6.92 IPS |
|
|
Depth Estimation (Q)
|
62% |
728
6.89 IPS |
|
|
Style Transfer (SP)
|
100% |
1975
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
2607
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2581
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
455
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
324
433.0 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.9 IPS |
|
|
Text Classification (Q)
|
91% |
539
724.7 IPS |
|
|
Machine Translation (SP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
57% |
318
7.77 IPS |
