iPhone 16 Pro
Geekbench AI Score
4507
Single Precision Score
7689
Half Precision Score
6128
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maxsheikh27 |
| Upload Date | February 14 2025 06:37 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2040
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8803
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17951
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15073
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2127
168.7 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
7486
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4173
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7581
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13958
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9630
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23263
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36638
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30121
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5578
206.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6813
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4934
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
3450
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5896
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3796
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7086
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7008
121.1 IPS |
