iPhone 16
Geekbench AI Score
4520
Single Precision Score
7474
Half Precision Score
6015
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 07:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
3271
608.2 IPS |
|
|
Image Classification (Q)
|
96% |
2232
416.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2741
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3142
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8859
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17316
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14920
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.3 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.5 IPS |
|
|
Object Detection (Q)
|
94% |
2617
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
6779
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3962
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7955
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13701
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9527
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20898
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36345
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29907
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5459
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7081
261.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5065
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
3726
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6269
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6241
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4021
69.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6283
108.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6347
109.7 IPS |
