iPhone 16 Plus
Geekbench AI Score
4414
Single Precision Score
7572
Half Precision Score
6019
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 09:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
3246
603.7 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3238
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8941
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18485
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15492
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.5 IPS |
|
|
Object Detection (HP)
|
97% |
3696
294.3 IPS |
|
|
Object Detection (Q)
|
94% |
2596
206.9 IPS |
|
|
Face Detection (SP)
|
100% |
3597
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
6914
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
4002
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7949
61.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14188
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9841
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18751
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37686
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30540
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7241
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5103
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6085
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5868
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3933
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6065
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6063
104.8 IPS |
