iPhone 16
Geekbench AI Score
4425
Single Precision Score
4779
Half Precision Score
4860
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 06:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
827
153.9 IPS |
|
|
Image Classification (Q)
|
96% |
923
172.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3815
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4082
66.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3835
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13543
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13872
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13784
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1880
149.1 IPS |
|
|
Object Detection (HP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (Q)
|
92% |
1972
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
7188
85.4 IPS |
|
|
Face Detection (HP)
|
100% |
8358
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
7083
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11584
89.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11686
90.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11260
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29758
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32395
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31554
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3941
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3549
131.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4443
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
3399
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5927
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5923
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1154
19.9 IPS |
