iPhone 16
Geekbench AI Score
4467
Single Precision Score
4994
Half Precision Score
4688
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 02:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
783
145.6 IPS |
|
|
Image Classification (HP)
|
100% |
860
160.0 IPS |
|
|
Image Classification (Q)
|
96% |
811
151.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3322
53.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4131
67.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3814
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13091
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14548
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14212
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (HP)
|
100% |
1503
119.3 IPS |
|
|
Object Detection (Q)
|
92% |
1447
115.5 IPS |
|
|
Face Detection (SP)
|
100% |
7252
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
9282
110.3 IPS |
|
|
Face Detection (Q)
|
100% |
7133
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11312
87.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12118
93.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11373
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28996
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32385
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31452
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4755
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4664
172.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4089
151.0 IPS |
|
|
Text Classification (SP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6285
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6511
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1187
20.5 IPS |
