iPhone 16
Geekbench AI Score
4394
Single Precision Score
4791
Half Precision Score
4750
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | May 12 2025 07:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
866
161.1 IPS |
|
|
Image Classification (HP)
|
100% |
811
150.9 IPS |
|
|
Image Classification (Q)
|
96% |
950
177.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3234
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3888
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3860
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13523
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13840
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13757
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.5 IPS |
|
|
Object Detection (HP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (Q)
|
92% |
1654
132.0 IPS |
|
|
Face Detection (SP)
|
100% |
7008
83.3 IPS |
|
|
Face Detection (HP)
|
100% |
9199
109.3 IPS |
|
|
Face Detection (Q)
|
100% |
7081
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11442
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11744
90.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11053
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29703
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32311
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31291
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3977
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3702
136.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4230
156.2 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5990
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1147
19.8 IPS |
