iPhone 16
Geekbench AI Score
4562
Single Precision Score
4889
Half Precision Score
4886
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 01:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
874
162.6 IPS |
|
|
Image Classification (HP)
|
100% |
874
162.6 IPS |
|
|
Image Classification (Q)
|
96% |
866
161.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3838
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4089
66.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3949
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13070
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14544
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14151
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2092
165.9 IPS |
|
|
Object Detection (HP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (Q)
|
92% |
2027
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
7081
84.1 IPS |
|
|
Face Detection (HP)
|
100% |
8703
103.4 IPS |
|
|
Face Detection (Q)
|
100% |
7088
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11277
86.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12064
92.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11338
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28902
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28198
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31110
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4694
173.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4317
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6256
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6207
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1180
20.4 IPS |
