iPhone 16 Pro
Geekbench AI Score
4481
Single Precision Score
7537
Half Precision Score
6033
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 29 2026 05:04 PM |
| Views | 4 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
3455
642.6 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2756
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3199
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8707
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17326
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14642
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
97% |
3661
291.5 IPS |
|
|
Object Detection (Q)
|
94% |
2564
204.3 IPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6773
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3936
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7821
60.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13172
101.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9243
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20982
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34831
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28315
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5200
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7115
262.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5000
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6134
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6136
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4083
70.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7230
124.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7274
125.7 IPS |
