iPhone 16
Geekbench AI Score
2317
Single Precision Score
2396
Half Precision Score
2300
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 08 2025 08:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1000
185.9 IPS |
|
|
Image Classification (HP)
|
100% |
871
162.0 IPS |
|
|
Image Classification (Q)
|
96% |
770
143.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3934
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4014
65.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3946
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13066
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14559
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14162
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.1 IPS |
|
|
Object Detection (HP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (Q)
|
92% |
1398
111.6 IPS |
|
|
Face Detection (SP)
|
100% |
7193
85.5 IPS |
|
|
Face Detection (HP)
|
100% |
8977
106.7 IPS |
|
|
Face Detection (Q)
|
100% |
7067
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11303
87.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12082
93.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11354
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28895
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32152
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32054
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4765
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4294
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
3715
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6280
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6244
8.38 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
8.65 IPS |
|
|
Machine Translation (HP)
|
0% |
0
9.46 IPS |
|
|
Machine Translation (Q)
|
0% |
0
8.72 IPS |
