iPhone 16
Geekbench AI Score
4490
Single Precision Score
4783
Half Precision Score
4632
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 08:32 PM |
| Views | 2 |
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% |
814
151.4 IPS |
|
|
Image Classification (HP)
|
100% |
780
145.1 IPS |
|
|
Image Classification (Q)
|
96% |
712
133.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3559
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4121
66.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3922
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13067
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14510
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14133
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2116
167.8 IPS |
|
|
Object Detection (HP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (Q)
|
92% |
1495
119.3 IPS |
|
|
Face Detection (SP)
|
100% |
7133
84.8 IPS |
|
|
Face Detection (HP)
|
100% |
9248
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
7132
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11186
86.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11942
92.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11353
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28655
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31977
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31933
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4721
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3467
128.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4235
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
3720
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6315
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6188
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1139
19.7 IPS |
