Google Pixel 7
Geekbench AI Score
717
Single Precision Score
1041
Half Precision Score
788
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:04 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% |
270
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1294
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4379
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
9346
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8871
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
99% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
83% |
432
34.9 IPS |
|
|
Face Detection (SP)
|
100% |
1709
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
2599
30.9 IPS |
|
|
Face Detection (Q)
|
96% |
1935
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2281
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3391
26.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
2795
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6686
8.59 IPS |
|
|
Style Transfer (HP)
|
100% |
16316
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15032
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1100
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1115
41.3 IPS |
|
|
Text Classification (SP)
|
35% |
11
101.1 IPS |
|
|
Text Classification (HP)
|
35% |
15
132.4 IPS |
|
|
Text Classification (Q)
|
32% |
10
125.9 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.39 IPS |
