iPhone 16
Geekbench AI Score
4326
Single Precision Score
7433
Half Precision Score
5883
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 12 2025 07:13 PM |
| Views | 1 |
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
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
3198
594.7 IPS |
|
|
Image Classification (Q)
|
96% |
2183
407.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3231
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8612
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17709
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14744
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2556
203.7 IPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6787
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3911
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7729
59.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13860
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9461
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18294
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36446
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28802
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7166
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5023
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6035
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5906
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5871
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5915
102.2 IPS |
