iPhone 16 Plus
Geekbench AI Score
4250
Single Precision Score
7213
Half Precision Score
5833
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 09:47 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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
3245
603.4 IPS |
|
|
Image Classification (Q)
|
96% |
2217
414.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3160
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8029
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
16963
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14185
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.2 IPS |
|
|
Object Detection (HP)
|
97% |
3673
292.4 IPS |
|
|
Object Detection (Q)
|
94% |
2559
204.0 IPS |
|
|
Face Detection (SP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
6307
74.9 IPS |
|
|
Face Detection (Q)
|
100% |
3701
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7504
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13059
100.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9281
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18819
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33862
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28823
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4946
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6631
244.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4784
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
3705
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6203
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6260
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6074
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6052
104.6 IPS |
