Google Pixel 7 Pro
Geekbench AI Score
504
Single Precision Score
606
Half Precision Score
599
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andybeals |
| Upload Date | March 29 2025 01:59 AM |
| Views | 19 |
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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
309
57.5 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (Q)
|
99% |
245
45.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
457
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
620
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
83% |
359
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1395
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
1268
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
781
6.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
927
7.14 IPS |
|
|
Depth Estimation (Q)
|
62% |
755
7.14 IPS |
|
|
Style Transfer (SP)
|
100% |
2025
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2605
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2576
3.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
457
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.3 IPS |
|
|
Text Classification (HP)
|
100% |
206
275.2 IPS |
|
|
Text Classification (Q)
|
91% |
422
566.9 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.71 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.81 IPS |
