iPhone 16
Geekbench AI Score
4115
Single Precision Score
7145
Half Precision Score
5665
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 02:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1922
357.4 IPS |
|
|
Image Classification (HP)
|
100% |
3223
599.3 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2780
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8059
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
16271
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14059
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1946
154.4 IPS |
|
|
Object Detection (HP)
|
97% |
3611
287.4 IPS |
|
|
Object Detection (Q)
|
94% |
2418
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6703
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3776
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6956
53.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13268
102.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9109
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21659
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34436
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27212
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4958
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6401
236.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4559
168.3 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5857
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5703
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5612
97.0 IPS |
