iPhone 16 Pro
Geekbench AI Score
4489
Single Precision Score
7613
Half Precision Score
6064
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 12 2026 06:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
3350
623.0 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2787
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3149
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8462
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
17109
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13425
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.8 IPS |
|
|
Object Detection (HP)
|
97% |
3707
295.1 IPS |
|
|
Object Detection (Q)
|
94% |
2610
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6813
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3953
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8021
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13628
105.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9427
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21019
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36471
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30047
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5416
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5077
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3735
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6319
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6327
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4039
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7193
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7331
126.7 IPS |
