iPhone 16
Geekbench AI Score
4474
Single Precision Score
7408
Half Precision Score
5964
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 08:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2030
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
3291
611.9 IPS |
|
|
Image Classification (Q)
|
96% |
2242
418.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2736
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3152
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8870
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17359
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14932
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2239
177.6 IPS |
|
|
Object Detection (HP)
|
97% |
3389
269.8 IPS |
|
|
Object Detection (Q)
|
94% |
2534
202.0 IPS |
|
|
Face Detection (SP)
|
100% |
3497
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6793
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3915
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7811
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13489
104.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9412
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20616
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36027
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29032
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5417
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7007
258.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4982
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6421
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6316
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4004
69.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6330
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6335
109.5 IPS |
