iPhone 16 Pro
Geekbench AI Score
4458
Single Precision Score
7676
Half Precision Score
6112
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | saltcreek |
| Upload Date | December 27 2024 02:49 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.2 IPS |
|
|
Image Classification (Q)
|
96% |
2276
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8374
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
17358
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14838
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (HP)
|
97% |
3823
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3601
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7447
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4102
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7498
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13861
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9613
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23417
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36423
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30450
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5459
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6942
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4897
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5824
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5807
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7081
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7098
122.7 IPS |
