iPhone 16
Geekbench AI Score
4397
Single Precision Score
4802
Half Precision Score
4829
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 24 2025 12:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (HP)
|
100% |
826
153.7 IPS |
|
|
Image Classification (Q)
|
96% |
938
175.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3143
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3947
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3913
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13515
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13836
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13781
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1865
147.9 IPS |
|
|
Object Detection (HP)
|
100% |
1616
128.2 IPS |
|
|
Object Detection (Q)
|
92% |
1710
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
6800
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
9218
109.5 IPS |
|
|
Face Detection (Q)
|
100% |
7206
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11682
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11769
90.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11286
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29697
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32330
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31552
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4805
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3635
134.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4563
168.5 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6055
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5948
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1147
19.8 IPS |
