iPhone 16 Plus
Geekbench AI Score
4421
Single Precision Score
7556
Half Precision Score
6042
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gigac1 |
| Upload Date | April 03 2025 02:04 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| 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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3241
602.7 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3228
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9069
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18656
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15734
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
97% |
3762
299.5 IPS |
|
|
Object Detection (Q)
|
94% |
2595
206.8 IPS |
|
|
Face Detection (SP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6932
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
4025
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8083
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14188
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9959
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19197
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37903
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30691
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5126
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5896
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5934
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3827
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6000
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5954
102.9 IPS |
