iPhone 16 Pro
Geekbench AI Score
4658
Single Precision Score
7879
Half Precision Score
6310
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | iantm |
| Upload Date | August 15 2025 02:29 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
3477
646.7 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3308
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9471
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18675
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15775
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
97% |
3794
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
7157
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
4163
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8276
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13725
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9722
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23437
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39038
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31783
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5283
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7267
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5144
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
3600
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6222
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6200
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4141
71.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7648
132.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7591
131.2 IPS |
