iPhone 16 Pro
Geekbench AI Score
4680
Single Precision Score
7802
Half Precision Score
6300
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 10:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2045
380.2 IPS |
|
|
Image Classification (HP)
|
100% |
3452
641.9 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3306
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9385
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18257
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15617
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
97% |
3706
295.1 IPS |
|
|
Object Detection (Q)
|
94% |
2634
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
3724
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
7140
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
4134
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8274
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13749
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9743
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22123
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38271
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31319
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7222
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5135
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6166
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6305
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4203
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7550
130.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7626
131.8 IPS |
