Google Pixel 7
Geekbench AI Score
207
Single Precision Score
1948
Half Precision Score
6090
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 01:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
145
26.9 IPS |
|
|
Image Classification (HP)
|
100% |
4638
862.4 IPS |
|
|
Image Classification (Q)
|
99% |
7305
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
4738
76.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7830
127.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
218
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16576
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30298
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.25 IPS |
|
|
Object Detection (HP)
|
100% |
3779
299.8 IPS |
|
|
Object Detection (Q)
|
87% |
5403
433.4 IPS |
|
|
Face Detection (SP)
|
100% |
333
3.96 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.86 IPS |
|
|
Face Detection (Q)
|
97% |
25154
299.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
255
1.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
18035
138.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
26887
247.5 IPS |
|
|
Style Transfer (SP)
|
100% |
426
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
431
0.55 IPS |
|
|
Style Transfer (Q)
|
58% |
1820
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5007
184.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10991
407.3 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.3 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.2 IPS |
|
|
Text Classification (Q)
|
92% |
2165
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
57% |
256
6.25 IPS |
