iPhone 16 Plus
Geekbench AI Score
4038
Single Precision Score
4518
Half Precision Score
4630
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 09:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
957
177.9 IPS |
|
|
Image Classification (HP)
|
100% |
774
144.0 IPS |
|
|
Image Classification (Q)
|
96% |
685
128.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3220
52.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3990
64.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3754
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12982
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14379
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14104
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (Q)
|
92% |
1914
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
4839
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
6868
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
6958
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11063
85.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11583
89.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11260
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28660
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32982
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31869
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3367
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3274
120.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3785
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
3721
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6382
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6340
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1089
18.8 IPS |
