Google Pixel 7
Geekbench AI Score
222
Single Precision Score
2084
Half Precision Score
6458
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 03:18 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
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
5567
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
8582
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
5436
88.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9381
152.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
229
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16624
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30355
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
3981
315.8 IPS |
|
|
Object Detection (Q)
|
87% |
5737
460.2 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (Q)
|
97% |
26662
317.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
18202
140.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
27726
255.2 IPS |
|
|
Style Transfer (SP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
465
0.60 IPS |
|
|
Style Transfer (Q)
|
57% |
1859
3.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5007
184.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11047
409.3 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.3 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.3 IPS |
|
|
Text Classification (Q)
|
92% |
2221
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.52 IPS |
