iPhone 16 Pro
Geekbench AI Score
4566
Single Precision Score
7690
Half Precision Score
6088
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 11:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
3434
638.6 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3273
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8963
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16943
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14525
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
97% |
3747
298.3 IPS |
|
|
Object Detection (Q)
|
94% |
2549
203.2 IPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
7075
84.1 IPS |
|
|
Face Detection (Q)
|
100% |
4015
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7930
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13432
103.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9278
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21469
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36173
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28601
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5374
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6988
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6163
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6099
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4170
71.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7835
135.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7681
132.7 IPS |
