iPhone 16
Geekbench AI Score
5334
Single Precision Score
6108
Half Precision Score
5776
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 19 2026 02:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
933
173.5 IPS |
|
|
Image Classification (HP)
|
100% |
1011
188.0 IPS |
|
|
Image Classification (Q)
|
96% |
1006
187.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3898
63.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4143
67.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3988
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13036
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14497
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14145
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
3055
242.3 IPS |
|
|
Object Detection (HP)
|
100% |
3152
250.0 IPS |
|
|
Object Detection (Q)
|
91% |
3046
243.4 IPS |
|
|
Face Detection (SP)
|
100% |
7509
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
10022
119.1 IPS |
|
|
Face Detection (Q)
|
100% |
8628
102.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11360
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12338
95.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11759
92.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29108
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33129
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31778
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6438
237.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6403
236.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5582
206.1 IPS |
|
|
Text Classification (SP)
|
100% |
6991
9.33 KIPS |
|
|
Text Classification (HP)
|
100% |
10511
14.0 KIPS |
|
|
Text Classification (Q)
|
93% |
10698
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1371
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1244
21.5 IPS |
