iPhone 16
Geekbench AI Score
4034
Single Precision Score
6905
Half Precision Score
5473
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 23 2026 06:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1980
368.2 IPS |
|
|
Image Classification (HP)
|
100% |
3232
601.1 IPS |
|
|
Image Classification (Q)
|
96% |
2228
416.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2681
43.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3043
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7863
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
14704
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12802
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2173
172.3 IPS |
|
|
Object Detection (HP)
|
97% |
3549
282.6 IPS |
|
|
Object Detection (Q)
|
94% |
2467
196.6 IPS |
|
|
Face Detection (SP)
|
100% |
2665
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
6058
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3562
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7133
55.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
12728
98.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8744
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18492
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28964
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21098
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4019
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6408
236.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4589
169.5 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6194
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6291
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6150
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5939
102.6 IPS |
