iPhone 16 Pro
Geekbench AI Score
6051
Single Precision Score
7039
Half Precision Score
6857
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | June 30 2025 09:55 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2925
543.9 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.6 IPS |
|
|
Image Classification (Q)
|
96% |
3142
586.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4418
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4911
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4726
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15463
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17067
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16907
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3166
251.1 IPS |
|
|
Object Detection (HP)
|
100% |
3674
291.4 IPS |
|
|
Object Detection (Q)
|
92% |
3385
270.2 IPS |
|
|
Face Detection (SP)
|
100% |
7675
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
10660
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
8596
102.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13640
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14830
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14363
112.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32748
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38605
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38803
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7990
295.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8299
306.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7579
279.9 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5934
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5961
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1124
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1251
21.6 IPS |
