iPhone 16
Geekbench AI Score
4381
Single Precision Score
7486
Half Precision Score
5955
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 07:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
3230
600.8 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3240
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8591
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17824
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14771
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
97% |
3731
297.0 IPS |
|
|
Object Detection (Q)
|
94% |
2598
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6837
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3941
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7862
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14137
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9727
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18767
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36930
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30374
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5176
191.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7156
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5062
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6001
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3956
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6002
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5895
101.9 IPS |
