Google Pixel 7
Geekbench AI Score
723
Single Precision Score
1025
Half Precision Score
810
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 02:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
267
49.6 IPS |
|
|
Image Classification (HP)
|
100% |
301
55.9 IPS |
|
|
Image Classification (Q)
|
97% |
284
53.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1270
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4384
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
9030
10.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8921
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (HP)
|
99% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
83% |
440
35.6 IPS |
|
|
Face Detection (SP)
|
100% |
1829
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2597
30.9 IPS |
|
|
Face Detection (Q)
|
96% |
2280
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2273
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3461
26.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
2733
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6462
8.31 IPS |
|
|
Style Transfer (HP)
|
100% |
14930
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14709
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1268
47.0 IPS |
|
|
Text Classification (SP)
|
35% |
12
107.9 IPS |
|
|
Text Classification (HP)
|
35% |
14
123.9 IPS |
|
|
Text Classification (Q)
|
32% |
10
127.1 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.28 IPS |
