Google Pixel 7
Geekbench AI Score
1005
Single Precision Score
969
Half Precision Score
1761
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | klcs1998 |
| Upload Date | August 15 2025 12:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 7 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
538
100.1 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.3 IPS |
|
|
Image Classification (Q)
|
100% |
1542
286.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1720
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2393
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2046
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3095
3.67 IPS |
|
|
Object Detection (SP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
83% |
1166
94.2 IPS |
|
|
Face Detection (SP)
|
100% |
1440
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1406
16.7 IPS |
|
|
Face Detection (Q)
|
95% |
3025
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1810
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1730
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2617
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3479
4.52 IPS |
|
|
Style Transfer (HP)
|
89% |
3209
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
7276
9.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
995
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1732
64.2 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.2 IPS |
|
|
Text Classification (HP)
|
100% |
470
627.5 IPS |
|
|
Text Classification (Q)
|
88% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
397
14.1 IPS |
