iPhone 16
Geekbench AI Score
4234
Single Precision Score
7334
Half Precision Score
5853
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 05:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1930
358.9 IPS |
|
|
Image Classification (HP)
|
100% |
3224
599.6 IPS |
|
|
Image Classification (Q)
|
96% |
2190
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3261
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8267
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
17075
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14592
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2047
162.4 IPS |
|
|
Object Detection (HP)
|
97% |
3678
292.8 IPS |
|
|
Object Detection (Q)
|
94% |
2580
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6793
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3917
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7191
55.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13422
103.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9318
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22545
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36407
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29107
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5056
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6762
249.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4794
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5961
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5918
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5821
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5832
100.8 IPS |
