iPhone 16
Geekbench AI Score
4350
Single Precision Score
7451
Half Precision Score
5936
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | raynet111 |
| Upload Date | June 23 2025 01:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3248
604.1 IPS |
|
|
Image Classification (Q)
|
96% |
2210
412.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2803
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3227
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8713
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17662
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14855
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.7 IPS |
|
|
Object Detection (HP)
|
97% |
3708
295.2 IPS |
|
|
Object Detection (Q)
|
94% |
2585
206.1 IPS |
|
|
Face Detection (SP)
|
100% |
3543
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6763
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3915
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7820
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14024
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9588
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18484
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36811
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29558
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5032
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7183
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5019
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6003
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5926
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5940
102.7 IPS |
