iPhone 16
Geekbench AI Score
4317
Single Precision Score
7430
Half Precision Score
5920
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 12:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1951
362.8 IPS |
|
|
Image Classification (HP)
|
100% |
3238
602.1 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3269
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8359
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
17453
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14771
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2075
164.6 IPS |
|
|
Object Detection (HP)
|
97% |
3701
294.6 IPS |
|
|
Object Detection (Q)
|
94% |
2569
204.7 IPS |
|
|
Face Detection (SP)
|
100% |
3282
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6959
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
4032
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7528
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14007
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9574
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23017
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36857
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30243
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5355
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6764
249.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4836
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6063
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5893
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5838
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5841
100.9 IPS |
