iPhone 16 Pro
Geekbench AI Score
4369
Single Precision Score
7597
Half Precision Score
6051
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | returnf4lse |
| Upload Date | December 11 2024 12:42 PM |
| Views | 1 |
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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.6 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2853
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3314
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8037
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
17176
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14505
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2065
163.8 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7351
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4098
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7432
57.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13878
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9669
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22887
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36195
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29388
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5368
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6891
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4863
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5926
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5911
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6857
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6932
119.8 IPS |
