iPhone 16 Pro
Geekbench AI Score
4817
Single Precision Score
8003
Half Precision Score
6356
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | April 03 2025 01:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2083
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
3421
636.1 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3354
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10102
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19522
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16618
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.7 IPS |
|
|
Object Detection (HP)
|
97% |
3861
307.3 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
4052
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7750
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4298
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14685
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10198
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21899
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38299
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31441
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7393
273.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5200
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5912
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4347
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7567
130.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7527
130.1 IPS |
