iPhone 16 Pro
Geekbench AI Score
4514
Single Precision Score
7656
Half Precision Score
6099
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 09:19 PM |
| 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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
3399
632.2 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3304
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8814
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17398
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14695
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.4 IPS |
|
|
Object Detection (Q)
|
94% |
2608
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3848
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7316
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4049
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7830
60.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13391
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9222
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19442
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35747
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29643
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5138
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7231
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5888
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6002
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4267
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7346
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7404
128.0 IPS |
