iPhone 16 Pro
Geekbench AI Score
4760
Single Precision Score
7961
Half Precision Score
6361
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 06 2025 04:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.3 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9521
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19294
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16449
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (HP)
|
97% |
3862
307.5 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
7691
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4287
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14580
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10148
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21837
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38201
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31550
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5789
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7373
272.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5205
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5939
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5944
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4284
73.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7486
129.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7557
130.6 IPS |
