Google Pixel 7
Geekbench AI Score
222
Single Precision Score
2074
Half Precision Score
6390
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:16 AM |
| Views | 3 |
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% |
5481
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
8574
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
5229
84.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9316
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16617
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30366
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
3966
314.6 IPS |
|
|
Object Detection (Q)
|
87% |
5642
452.6 IPS |
|
|
Face Detection (SP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
25801
307.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
17884
137.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
27391
252.1 IPS |
|
|
Style Transfer (SP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
455
0.59 IPS |
|
|
Style Transfer (Q)
|
58% |
1825
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10988
407.2 IPS |
|
|
Text Classification (SP)
|
100% |
186
247.9 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.2 IPS |
|
|
Text Classification (Q)
|
92% |
2227
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
316
5.45 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
57% |
263
6.43 IPS |
