iPhone 16 Pro
Geekbench AI Score
4615
Single Precision Score
7852
Half Precision Score
6287
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | touchstone |
| Upload Date | April 07 2025 12:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.1 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3393
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9372
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19031
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16163
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
97% |
3857
307.1 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
3699
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
7607
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4274
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7980
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14409
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10096
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24224
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37723
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31251
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5697
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6990
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5901
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3856
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7215
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7257
125.4 IPS |
