iPhone 16
Geekbench AI Score
4442
Single Precision Score
4880
Half Precision Score
4728
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Boldi2010 |
| Upload Date | December 30 2025 08:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
845
157.1 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.5 IPS |
|
|
Image Classification (Q)
|
94% |
741
138.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3859
62.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3914
63.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3960
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13053
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14515
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14151
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (HP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (Q)
|
90% |
1558
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
6890
81.9 IPS |
|
|
Face Detection (HP)
|
100% |
10056
119.5 IPS |
|
|
Face Detection (Q)
|
100% |
7567
89.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11323
87.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12176
93.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11450
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29007
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32274
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32049
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4936
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3489
128.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4313
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6188
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6246
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1155
20.0 IPS |
