iPhone 16 Pro
Geekbench AI Score
4542
Single Precision Score
7781
Half Precision Score
6206
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jpadilla |
| Upload Date | February 21 2025 06:42 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2048
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.1 IPS |
|
|
Image Classification (Q)
|
96% |
2286
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3389
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9172
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18702
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15785
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.1 IPS |
|
|
Object Detection (HP)
|
97% |
3862
307.5 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7349
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4068
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7202
55.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14134
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9863
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24333
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37865
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31078
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5715
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6925
255.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4999
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5850
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5803
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3823
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7108
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7083
122.4 IPS |
