iPhone 16
Geekbench AI Score
4262
Single Precision Score
7352
Half Precision Score
5873
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | May 18 2025 07:22 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
3190
593.3 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3219
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8312
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
17347
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14561
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
97% |
3715
295.8 IPS |
|
|
Object Detection (Q)
|
94% |
2563
204.3 IPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6852
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3896
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7630
58.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13938
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9625
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18009
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35912
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29501
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4949
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6848
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4913
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5993
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5961
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3795
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5708
98.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5723
98.9 IPS |
