iPhone 16
Geekbench AI Score
4271
Single Precision Score
7350
Half Precision Score
5825
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 03:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
3205
596.0 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2786
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3216
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8354
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
17186
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14351
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2199
174.5 IPS |
|
|
Object Detection (HP)
|
97% |
3667
291.9 IPS |
|
|
Object Detection (Q)
|
94% |
2529
201.6 IPS |
|
|
Face Detection (SP)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6761
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3836
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7669
59.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13501
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9177
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18056
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36216
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29209
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5039
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7127
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6036
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5954
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3838
66.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5753
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5769
99.7 IPS |
