iPhone 16 Plus
Geekbench AI Score
1537
Single Precision Score
2641
Half Precision Score
2651
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 14 2026 11:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (HP)
|
100% |
841
156.4 IPS |
|
|
Image Classification (Q)
|
96% |
590
110.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1401
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3796
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
8025
9.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
6844
8.02 IPS |
|
|
Object Detection (SP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (HP)
|
97% |
1003
79.9 IPS |
|
|
Object Detection (Q)
|
94% |
768
61.2 IPS |
|
|
Face Detection (SP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1868
22.2 IPS |
|
|
Face Detection (Q)
|
100% |
1993
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1920
14.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
3897
30.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5436
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6191
7.96 IPS |
|
|
Style Transfer (HP)
|
100% |
19011
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
16716
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3313
122.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3143
116.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2459
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (HP)
|
99% |
3067
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3326
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2254
38.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2672
46.2 IPS |
