iPhone 16
Geekbench AI Score
4293
Single Precision Score
7388
Half Precision Score
5873
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | August 17 2025 05:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1980
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
3213
597.5 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3206
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8300
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
17348
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14583
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
97% |
3680
293.0 IPS |
|
|
Object Detection (Q)
|
94% |
2571
204.9 IPS |
|
|
Face Detection (SP)
|
100% |
3472
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6671
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3871
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7781
59.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13766
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9402
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18101
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36415
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29432
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7176
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5015
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6092
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6008
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5781
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5808
100.4 IPS |
