iPhone 16 Plus
Geekbench AI Score
4175
Single Precision Score
7115
Half Precision Score
5658
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 01:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
3239
602.4 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2636
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3003
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7489
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
15656
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13424
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2143
170.0 IPS |
|
|
Object Detection (HP)
|
97% |
3477
276.8 IPS |
|
|
Object Detection (Q)
|
94% |
2422
193.1 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6371
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
3634
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7172
55.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
12632
97.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8587
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18285
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33741
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27182
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6829
252.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4730
174.6 IPS |
|
|
Text Classification (SP)
|
100% |
3795
5.07 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6483
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5977
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6016
104.0 IPS |
