iPhone 16 Pro
Geekbench AI Score
4559
Single Precision Score
7772
Half Precision Score
6191
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | henryah1 |
| Upload Date | May 06 2025 09:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3422
636.4 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3339
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8915
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17558
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15010
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2652
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7470
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4160
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7777
59.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14045
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9631
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19880
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37063
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30377
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5288
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7262
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4324
74.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7410
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7463
129.0 IPS |
