Google Pixel 8
Geekbench AI Score
364
Single Precision Score
4102
Half Precision Score
7106
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 10:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 8 |
| Model ID | Google Pixel 8 |
| Motherboard | shiba |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
262
48.8 IPS |
|
|
Image Classification (HP)
|
100% |
3429
637.7 IPS |
|
|
Image Classification (Q)
|
99% |
6407
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
9555
154.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15217
247.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
390
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
31107
36.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
62150
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
4399
348.9 IPS |
|
|
Object Detection (Q)
|
87% |
5437
436.1 IPS |
|
|
Face Detection (SP)
|
100% |
587
6.97 IPS |
|
|
Face Detection (HP)
|
100% |
17542
208.4 IPS |
|
|
Face Detection (Q)
|
97% |
30174
359.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
30328
233.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
34937
321.6 IPS |
|
|
Style Transfer (SP)
|
100% |
786
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
662
0.85 IPS |
|
|
Style Transfer (Q)
|
74% |
2364
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8090
298.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14391
533.3 IPS |
|
|
Text Classification (SP)
|
100% |
276
367.8 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.1 IPS |
|
|
Text Classification (Q)
|
92% |
1042
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.53 IPS |
