iPhone 16
Geekbench AI Score
4326
Single Precision Score
7351
Half Precision Score
5847
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 11:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
3279
609.7 IPS |
|
|
Image Classification (Q)
|
96% |
2236
417.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2765
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3217
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8467
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
17066
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14178
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2275
180.4 IPS |
|
|
Object Detection (HP)
|
97% |
3703
294.8 IPS |
|
|
Object Detection (Q)
|
94% |
2548
203.1 IPS |
|
|
Face Detection (SP)
|
100% |
3467
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6751
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3846
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7580
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13119
101.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9305
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19693
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36579
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27978
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6972
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4924
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5927
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3880
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5981
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6155
106.4 IPS |
