Google Pixel 7
Geekbench AI Score
499
Single Precision Score
579
Half Precision Score
585
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 15 2025 10:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
252
46.9 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
99% |
227
42.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
775
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
456
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
621
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
316
25.0 IPS |
|
|
Object Detection (Q)
|
83% |
324
26.2 IPS |
|
|
Face Detection (SP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
1289
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
773
5.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
917
7.07 IPS |
|
|
Depth Estimation (Q)
|
62% |
742
7.02 IPS |
|
|
Style Transfer (SP)
|
100% |
2020
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2626
3.38 IPS |
|
|
Style Transfer (Q)
|
98% |
2590
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
478
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
476
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
209
278.5 IPS |
|
|
Text Classification (HP)
|
100% |
208
278.2 IPS |
|
|
Text Classification (Q)
|
91% |
423
568.6 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (Q)
|
57% |
268
6.54 IPS |
