iPhone 16 Pro
Geekbench AI Score
4562
Single Precision Score
7767
Half Precision Score
6213
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 09:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2033
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
3301
613.9 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8933
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18386
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15390
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.1 IPS |
|
|
Object Detection (HP)
|
97% |
3856
307.0 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3648
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7568
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4260
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7785
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14299
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9851
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23958
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37377
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31130
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5623
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6919
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4994
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5852
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5888
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3865
66.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7079
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7116
123.0 IPS |
