iPhone 16 Pro
Geekbench AI Score
4625
Single Precision Score
7774
Half Precision Score
6196
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 25 2026 07:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
3469
645.2 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3266
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9218
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17580
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15160
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
97% |
3708
295.2 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3692
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
7197
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
4114
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8124
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13747
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9633
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22210
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37335
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29842
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5465
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7115
262.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4894
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3762
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
6232
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6115
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4202
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7748
133.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7780
134.4 IPS |
