iPhone 16
Geekbench AI Score
4366
Single Precision Score
7308
Half Precision Score
5828
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 05:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
3267
607.6 IPS |
|
|
Image Classification (Q)
|
96% |
2235
417.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2716
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3176
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8383
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
16355
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13814
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2236
177.3 IPS |
|
|
Object Detection (HP)
|
97% |
3661
291.5 IPS |
|
|
Object Detection (Q)
|
94% |
2527
201.4 IPS |
|
|
Face Detection (SP)
|
100% |
3392
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
6548
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3698
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7497
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12997
100.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9059
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19426
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35362
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28289
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5140
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6956
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6298
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6236
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6211
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6385
110.3 IPS |
