iPhone 16
Geekbench AI Score
4420
Single Precision Score
4828
Half Precision Score
4522
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | December 29 2025 06:27 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
761
141.6 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.3 IPS |
|
|
Image Classification (Q)
|
96% |
797
148.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3604
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4112
66.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3817
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13054
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14545
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14184
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1989
157.7 IPS |
|
|
Object Detection (HP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (Q)
|
92% |
1491
119.0 IPS |
|
|
Face Detection (SP)
|
100% |
6603
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
9275
110.2 IPS |
|
|
Face Detection (Q)
|
100% |
7043
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11275
86.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12011
92.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10927
85.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28764
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32331
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31945
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4777
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3547
131.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3111
114.9 IPS |
|
|
Text Classification (SP)
|
100% |
3697
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6217
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6238
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1165
20.1 IPS |
