iPhone 16 Plus
Geekbench AI Score
4456
Single Precision Score
4757
Half Precision Score
4735
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 15 2025 12:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
891
165.8 IPS |
|
|
Image Classification (HP)
|
100% |
814
151.5 IPS |
|
|
Image Classification (Q)
|
96% |
962
179.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3911
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3951
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3819
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13562
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13857
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13792
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1855
147.2 IPS |
|
|
Object Detection (HP)
|
100% |
1663
131.9 IPS |
|
|
Object Detection (Q)
|
92% |
1429
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
7169
85.2 IPS |
|
|
Face Detection (HP)
|
100% |
8746
103.9 IPS |
|
|
Face Detection (Q)
|
100% |
7383
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11537
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11762
90.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11339
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29724
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32359
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31550
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3405
125.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4162
153.7 IPS |
|
|
Text Classification (SP)
|
100% |
3390
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6003
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6106
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1166
20.2 IPS |
