iPhone 16 Pro
Geekbench AI Score
4443
Single Precision Score
7475
Half Precision Score
5980
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 26 2026 07:11 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
3133
582.6 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2743
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3092
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8019
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
16390
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13647
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2183
173.2 IPS |
|
|
Object Detection (HP)
|
97% |
3613
287.7 IPS |
|
|
Object Detection (Q)
|
94% |
2565
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6968
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
3879
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7706
59.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13049
100.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9137
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21119
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34542
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28031
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5191
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7198
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4908
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3750
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6292
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6353
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4188
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7524
130.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7549
130.5 IPS |
