iPhone 16
Geekbench AI Score
4538
Single Precision Score
7509
Half Precision Score
6019
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 04:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
3277
609.5 IPS |
|
|
Image Classification (Q)
|
96% |
2234
417.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2725
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3163
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9121
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17936
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15137
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
97% |
3755
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6769
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3989
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7977
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13689
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9544
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20944
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37354
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29473
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7088
261.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5067
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6224
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6181
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3926
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6208
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6340
109.6 IPS |
