Google Pixel 7
Geekbench AI Score
468
Single Precision Score
578
Half Precision Score
561
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 12:02 AM |
| Views | 2 |
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% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.1 IPS |
|
|
Image Classification (Q)
|
99% |
230
42.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
804
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
443
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
618
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
327
26.5 IPS |
|
|
Face Detection (SP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1106
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
745
5.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
889
6.85 IPS |
|
|
Depth Estimation (Q)
|
62% |
743
7.03 IPS |
|
|
Style Transfer (SP)
|
100% |
2007
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2647
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2583
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
448
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.8 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.4 IPS |
|
|
Text Classification (Q)
|
91% |
413
555.5 IPS |
|
|
Machine Translation (SP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.33 IPS |
|
|
Machine Translation (Q)
|
57% |
214
5.23 IPS |
