iPhone 16
Geekbench AI Score
4389
Single Precision Score
7368
Half Precision Score
5874
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 01:15 PM |
| Views | 7 |
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% |
2011
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
3298
613.4 IPS |
|
|
Image Classification (Q)
|
96% |
2233
416.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3177
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8562
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
16750
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14203
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
97% |
3682
293.1 IPS |
|
|
Object Detection (Q)
|
94% |
2545
202.8 IPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6676
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3851
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7670
59.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13035
100.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9122
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19810
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35036
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28678
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5099
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7034
259.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4895
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6271
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6243
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6236
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6196
107.1 IPS |
