iPhone 16
Geekbench AI Score
4317
Single Precision Score
4807
Half Precision Score
4827
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | A19-Pro |
| Upload Date | January 20 2026 08:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
814
151.4 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.5 IPS |
|
|
Image Classification (Q)
|
96% |
820
153.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3788
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4129
66.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3950
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13064
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14482
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14166
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (HP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (Q)
|
92% |
1981
158.2 IPS |
|
|
Face Detection (SP)
|
100% |
7117
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
9263
110.1 IPS |
|
|
Face Detection (Q)
|
100% |
7066
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11312
87.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11508
88.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11052
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26429
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30630
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30268
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3609
133.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
6267
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6208
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1176
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1176
20.3 IPS |
