iPhone 16
Geekbench AI Score
4220
Single Precision Score
7302
Half Precision Score
5758
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 11:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
3217
598.3 IPS |
|
|
Image Classification (Q)
|
96% |
2190
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2774
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3127
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7912
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
16406
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13843
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2156
171.0 IPS |
|
|
Object Detection (HP)
|
97% |
3676
292.7 IPS |
|
|
Object Detection (Q)
|
94% |
2499
199.2 IPS |
|
|
Face Detection (SP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6637
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3776
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7581
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13452
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9062
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17698
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35461
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28433
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4883
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7104
262.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4931
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5990
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5970
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3903
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5945
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5910
102.1 IPS |
