iPhone 16 Pro
Geekbench AI Score
5804
Single Precision Score
6880
Half Precision Score
6053
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MGGeekBench24 |
| Upload Date | December 17 2024 08:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
3033
564.0 IPS |
|
|
Image Classification (HP)
|
100% |
3044
566.0 IPS |
|
|
Image Classification (Q)
|
97% |
2869
535.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3492
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4470
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4408
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15745
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16526
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15584
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3186
252.7 IPS |
|
|
Object Detection (HP)
|
100% |
3627
287.7 IPS |
|
|
Object Detection (Q)
|
91% |
2886
230.6 IPS |
|
|
Face Detection (SP)
|
100% |
7901
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
10785
128.2 IPS |
|
|
Face Detection (Q)
|
100% |
7234
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13421
103.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14479
111.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12336
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33043
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39774
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
35771
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8102
299.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8381
309.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6846
252.8 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5887
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
901
15.6 IPS |
