iPhone 16 Plus
Geekbench AI Score
4643
Single Precision Score
7933
Half Precision Score
6365
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | mduncanvm |
| Upload Date | March 13 2026 04:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
3307
615.0 IPS |
|
|
Image Classification (Q)
|
96% |
2255
421.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3198
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7627
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
16863
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14678
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.8 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2634
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3805
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
6922
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3966
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7403
57.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13593
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9502
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18956
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37076
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30230
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7083
261.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5037
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
6988
9.33 KIPS |
|
|
Text Classification (HP)
|
100% |
10744
14.3 KIPS |
|
|
Text Classification (Q)
|
93% |
11054
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6222
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6175
106.7 IPS |
