iPhone 16
Geekbench AI Score
4139
Single Precision Score
4216
Half Precision Score
4360
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 29 2026 06:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
958
178.1 IPS |
|
|
Image Classification (HP)
|
100% |
827
153.8 IPS |
|
|
Image Classification (Q)
|
96% |
910
170.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3736
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3794
61.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3832
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12924
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14337
16.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14072
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2218
176.0 IPS |
|
|
Object Detection (HP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (Q)
|
91% |
1239
99.1 IPS |
|
|
Face Detection (SP)
|
100% |
5590
66.4 IPS |
|
|
Face Detection (HP)
|
100% |
7630
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
7593
90.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7012
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6977
53.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11000
86.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23758
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25865
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24874
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5560
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4221
155.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3952
145.9 IPS |
|
|
Text Classification (SP)
|
100% |
2720
3.63 KIPS |
|
|
Text Classification (HP)
|
99% |
4463
5.96 KIPS |
|
|
Text Classification (Q)
|
93% |
4751
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1047
18.1 IPS |
