iPhone 16 Pro
Geekbench AI Score
4754
Single Precision Score
7902
Half Precision Score
6337
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 06:47 PM |
| Views | 3 |
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% |
2067
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
3490
649.1 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3337
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9672
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18549
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15827
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2357
187.0 IPS |
|
|
Object Detection (HP)
|
97% |
3808
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
3785
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
7448
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4192
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8320
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13919
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9790
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22985
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38379
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30873
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5711
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7240
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6097
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4270
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7734
133.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7918
136.8 IPS |
