Google Pixel 7
Geekbench AI Score
218
Single Precision Score
2074
Half Precision Score
6346
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 02:48 AM |
| Views | 5 |
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
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
5445
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8380
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
5627
91.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9407
153.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16597
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30381
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
3942
312.7 IPS |
|
|
Object Detection (Q)
|
87% |
5628
451.5 IPS |
|
|
Face Detection (SP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
26069
310.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
292
2.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
18212
140.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27044
249.0 IPS |
|
|
Style Transfer (SP)
|
100% |
464
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
451
0.58 IPS |
|
|
Style Transfer (Q)
|
58% |
1856
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4987
184.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10938
405.3 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.2 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.1 IPS |
|
|
Text Classification (Q)
|
92% |
2145
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.99 IPS |
|
|
Machine Translation (Q)
|
57% |
256
6.25 IPS |
