iPhone 16
Geekbench AI Score
4333
Single Precision Score
7416
Half Precision Score
5882
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 01:10 AM |
| Views | 2 |
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% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
3209
596.7 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3221
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8522
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
18185
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15093
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.7 IPS |
|
|
Object Detection (HP)
|
97% |
3716
295.9 IPS |
|
|
Object Detection (Q)
|
94% |
2529
201.6 IPS |
|
|
Face Detection (SP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6760
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3864
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7815
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13664
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9526
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18246
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35786
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29310
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4973
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7159
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4890
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5989
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5968
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3978
68.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5906
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5826
100.7 IPS |
