Google Pixel 7
Geekbench AI Score
718
Single Precision Score
1017
Half Precision Score
794
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 01:34 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% |
230
42.7 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.8 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1349
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4379
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
8989
10.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8893
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (HP)
|
99% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
83% |
420
33.9 IPS |
|
|
Face Detection (SP)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
2494
29.6 IPS |
|
|
Face Detection (Q)
|
96% |
2190
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2268
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3484
26.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
2809
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6462
8.31 IPS |
|
|
Style Transfer (HP)
|
100% |
14722
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14017
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1098
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1223
45.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1126
41.7 IPS |
|
|
Text Classification (SP)
|
35% |
12
105.0 IPS |
|
|
Text Classification (HP)
|
35% |
15
138.7 IPS |
|
|
Text Classification (Q)
|
32% |
10
126.9 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.97 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.39 IPS |
