iPhone 16 Pro
Geekbench AI Score
4559
Single Precision Score
7554
Half Precision Score
6103
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 10:53 AM |
| Views | 11 |
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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3463
644.0 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2744
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3258
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8945
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17565
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14749
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3629
288.9 IPS |
|
|
Object Detection (Q)
|
94% |
2571
204.9 IPS |
|
|
Face Detection (SP)
|
100% |
3679
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
6824
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3990
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7991
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13359
103.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9465
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21873
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36037
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29593
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5460
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7054
260.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5052
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
5884
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5872
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4101
70.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7334
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7545
130.4 IPS |
