iPhone 16
Geekbench AI Score
4025
Single Precision Score
7043
Half Precision Score
5661
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MacherG7 |
| Upload Date | February 21 2025 06:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1892
351.9 IPS |
|
|
Image Classification (HP)
|
100% |
3201
595.4 IPS |
|
|
Image Classification (Q)
|
96% |
2183
407.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2787
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3223
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8051
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
16674
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14014
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2008
159.3 IPS |
|
|
Object Detection (HP)
|
97% |
3524
280.5 IPS |
|
|
Object Detection (Q)
|
94% |
2547
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6582
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3814
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7085
54.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13135
101.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9057
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19259
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31492
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25756
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4300
158.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6217
229.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4455
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6015
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5956
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5633
97.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5702
98.5 IPS |
