iPhone 16 Pro
Geekbench AI Score
4598
Single Precision Score
7823
Half Precision Score
6231
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | February 11 2025 06:51 AM |
| Views | 5 |
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% |
2017
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2909
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3393
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9151
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18562
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15712
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2173
172.4 IPS |
|
|
Object Detection (HP)
|
97% |
3863
307.6 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7610
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4276
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7867
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14436
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9828
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24326
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37658
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30980
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6927
255.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4982
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5976
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5846
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7123
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7091
122.5 IPS |
