Google Pixel 7
Geekbench AI Score
717
Single Precision Score
1057
Half Precision Score
831
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 02:03 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% |
246
45.8 IPS |
|
|
Image Classification (HP)
|
100% |
305
56.7 IPS |
|
|
Image Classification (Q)
|
97% |
287
53.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1432
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4483
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
9799
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9270
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
99% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
83% |
435
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
1703
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
2445
29.1 IPS |
|
|
Face Detection (Q)
|
96% |
2650
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2276
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3796
29.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
2862
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6413
8.24 IPS |
|
|
Style Transfer (HP)
|
100% |
16026
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14953
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1216
45.1 IPS |
|
|
Text Classification (SP)
|
35% |
9
85.9 IPS |
|
|
Text Classification (HP)
|
35% |
14
126.6 IPS |
|
|
Text Classification (Q)
|
32% |
9
121.8 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.45 IPS |
