iPhone 16 Pro
Geekbench AI Score
4707
Single Precision Score
7886
Half Precision Score
6264
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | August 17 2025 08:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.6 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9567
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18836
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15746
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.4 IPS |
|
|
Object Detection (HP)
|
97% |
3732
297.1 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7639
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4234
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8347
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14448
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9959
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21217
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37964
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31003
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5587
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7342
271.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5135
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5942
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5939
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7369
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7321
126.5 IPS |
