iPhone 16 Pro
Geekbench AI Score
4617
Single Precision Score
7788
Half Precision Score
6150
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 04:21 PM |
| Views | 2 |
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% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
3473
645.9 IPS |
|
|
Image Classification (Q)
|
96% |
2340
436.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2819
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9017
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17632
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14867
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.1 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.3 IPS |
|
|
Object Detection (Q)
|
94% |
2606
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
3751
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
7219
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
3972
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8018
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13656
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9459
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21732
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36901
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29337
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5451
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7153
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5092
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6137
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6077
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4192
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7901
136.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7605
131.4 IPS |
