iPhone 16
Geekbench AI Score
4284
Single Precision Score
7384
Half Precision Score
5845
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 11:08 AM |
| Views | 3 |
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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
3219
598.7 IPS |
|
|
Image Classification (Q)
|
96% |
2206
411.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3215
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8377
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
17229
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14393
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.8 IPS |
|
|
Object Detection (HP)
|
97% |
3659
291.3 IPS |
|
|
Object Detection (Q)
|
94% |
2542
202.6 IPS |
|
|
Face Detection (SP)
|
100% |
3503
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6821
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3836
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7697
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13806
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9294
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17742
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35861
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29169
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4957
183.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7033
259.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6084
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5987
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5876
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5959
103.0 IPS |
