iPhone 16 Pro
Geekbench AI Score
5725
Single Precision Score
7064
Half Precision Score
6582
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 03:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2610
485.4 IPS |
|
|
Image Classification (HP)
|
100% |
3189
593.1 IPS |
|
|
Image Classification (Q)
|
96% |
2955
551.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3964
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4709
76.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4539
73.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14180
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17133
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16539
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2760
218.9 IPS |
|
|
Object Detection (HP)
|
100% |
3097
245.6 IPS |
|
|
Object Detection (Q)
|
92% |
2897
231.3 IPS |
|
|
Face Detection (SP)
|
100% |
6511
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
10008
118.9 IPS |
|
|
Face Detection (Q)
|
100% |
8201
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13080
100.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15264
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13814
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30342
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39999
51.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38814
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7610
281.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8310
306.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7063
260.8 IPS |
|
|
Text Classification (SP)
|
100% |
3765
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
6553
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1199
20.7 IPS |
