iPhone 16 Pro
Geekbench AI Score
4552
Single Precision Score
7757
Half Precision Score
6204
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | coryholt |
| Upload Date | December 11 2024 05:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.3 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3386
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8981
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18434
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15383
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2131
169.1 IPS |
|
|
Object Detection (HP)
|
97% |
3809
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
7520
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4242
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7789
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14256
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9831
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23877
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37526
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31101
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5606
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6809
251.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4994
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3846
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7071
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7153
123.6 IPS |
