iPhone 16 Plus
Geekbench AI Score
4467
Single Precision Score
7450
Half Precision Score
5953
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
3253
605.0 IPS |
|
|
Image Classification (Q)
|
96% |
2239
418.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2716
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3125
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8896
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17676
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14653
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
97% |
3711
295.4 IPS |
|
|
Object Detection (Q)
|
94% |
2586
206.1 IPS |
|
|
Face Detection (SP)
|
100% |
3490
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6802
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3902
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7787
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13351
103.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9299
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20459
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35851
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29379
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5339
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4979
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6318
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6280
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3880
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6330
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6329
109.4 IPS |
