iPhone 16 Plus
Geekbench AI Score
4319
Single Precision Score
7397
Half Precision Score
5859
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 11:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
3223
599.4 IPS |
|
|
Image Classification (Q)
|
96% |
2207
412.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3181
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8289
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
17213
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14449
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
97% |
3670
292.1 IPS |
|
|
Object Detection (Q)
|
94% |
2582
205.8 IPS |
|
|
Face Detection (SP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6802
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3895
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7822
60.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13805
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9269
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18221
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36182
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29706
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5012
185.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7165
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4960
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
6001
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5997
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5955
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5708
98.6 IPS |
