iPhone 16 Pro
Geekbench AI Score
4474
Single Precision Score
7532
Half Precision Score
6021
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 07:10 PM |
| Views | 6 |
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% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
3453
642.2 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2800
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3243
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8714
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17154
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14287
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.9 IPS |
|
|
Object Detection (HP)
|
97% |
3708
295.2 IPS |
|
|
Object Detection (Q)
|
94% |
2558
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
3927
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7713
59.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13344
103.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9210
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21068
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37137
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29667
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7148
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5053
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
5857
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5763
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4070
70.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6652
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7287
125.9 IPS |
