Google Pixel 7
Geekbench AI Score
706
Single Precision Score
1030
Half Precision Score
812
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2025 01:41 AM |
| Views | 5 |
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% |
251
46.6 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.5 IPS |
|
|
Image Classification (Q)
|
97% |
252
47.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1294
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4334
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
9667
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9590
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
99% |
535
42.4 IPS |
|
|
Object Detection (Q)
|
83% |
456
36.9 IPS |
|
|
Face Detection (SP)
|
100% |
1694
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (Q)
|
96% |
2278
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2355
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3431
26.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2742
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6442
8.28 IPS |
|
|
Style Transfer (HP)
|
100% |
15240
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14444
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1163
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1187
44.0 IPS |
|
|
Text Classification (SP)
|
35% |
10
90.2 IPS |
|
|
Text Classification (HP)
|
35% |
15
133.4 IPS |
|
|
Text Classification (Q)
|
32% |
11
135.7 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.35 IPS |
