Google Pixel 7
Geekbench AI Score
248
Single Precision Score
2429
Half Precision Score
7331
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | May 31 2025 11:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
152
28.3 IPS |
|
|
Image Classification (HP)
|
100% |
5923
1.10 KIPS |
|
|
Image Classification (Q)
|
99% |
8858
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
5434
88.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9389
152.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
252
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20825
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37924
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
4725
374.8 IPS |
|
|
Object Detection (Q)
|
87% |
6615
530.6 IPS |
|
|
Face Detection (SP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (HP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (Q)
|
97% |
31255
372.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
321
2.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
22586
174.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
33432
307.8 IPS |
|
|
Style Transfer (SP)
|
100% |
545
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
544
0.70 IPS |
|
|
Style Transfer (Q)
|
58% |
2132
3.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6186
228.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13380
495.8 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.2 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.5 IPS |
|
|
Text Classification (Q)
|
92% |
2291
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
57% |
315
7.70 IPS |
