iPhone 16 Plus
Geekbench AI Score
4369
Single Precision Score
7360
Half Precision Score
5842
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 09:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
3271
608.3 IPS |
|
|
Image Classification (Q)
|
96% |
2232
416.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2750
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3039
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8260
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
17431
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14723
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.8 IPS |
|
|
Object Detection (HP)
|
97% |
3611
287.5 IPS |
|
|
Object Detection (Q)
|
94% |
2384
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3408
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6455
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
3833
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7699
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13348
103.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9274
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19204
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35706
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28723
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5201
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7001
258.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3722
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6242
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6250
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6135
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6184
106.9 IPS |
