iPhone 16
Geekbench AI Score
4464
Single Precision Score
7298
Half Precision Score
5955
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 01:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
2718
505.5 IPS |
|
|
Image Classification (Q)
|
96% |
2225
415.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2773
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3212
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8730
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16855
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14290
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
97% |
3748
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2576
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6728
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3863
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7750
59.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13215
102.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9402
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20454
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35391
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29607
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5289
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7082
261.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6306
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6222
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6412
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6442
111.3 IPS |
