iPhone 16
Geekbench AI Score
4387
Single Precision Score
4868
Half Precision Score
4838
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | September 16 2025 02:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
809
150.5 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.7 IPS |
|
|
Image Classification (Q)
|
96% |
812
151.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3763
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3834
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3804
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13046
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14545
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14172
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1588
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
1642
130.3 IPS |
|
|
Object Detection (Q)
|
92% |
2041
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
7135
84.8 IPS |
|
|
Face Detection (HP)
|
100% |
9225
109.6 IPS |
|
|
Face Detection (Q)
|
100% |
7087
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11227
86.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12079
93.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11472
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28831
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32430
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31540
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4784
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3673
135.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4201
155.1 IPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6290
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6246
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1171
20.2 IPS |
