Google Pixel 7
Geekbench AI Score
708
Single Precision Score
1001
Half Precision Score
816
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:10 AM |
| Views | 4 |
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% |
273
50.8 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1015
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1355
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4351
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
8911
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8780
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (HP)
|
99% |
462
36.7 IPS |
|
|
Object Detection (Q)
|
83% |
428
34.5 IPS |
|
|
Face Detection (SP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
2411
28.7 IPS |
|
|
Face Detection (Q)
|
96% |
2337
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2269
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3473
26.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2907
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6439
8.28 IPS |
|
|
Style Transfer (HP)
|
100% |
15122
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14850
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1176
43.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1257
46.6 IPS |
|
|
Text Classification (SP)
|
35% |
10
91.9 IPS |
|
|
Text Classification (HP)
|
35% |
14
123.4 IPS |
|
|
Text Classification (Q)
|
32% |
10
128.2 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.88 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.32 IPS |
