iPhone 16
Geekbench AI Score
3932
Single Precision Score
6519
Half Precision Score
5228
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 02 2025 09:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1949
362.5 IPS |
|
|
Image Classification (HP)
|
100% |
2814
523.3 IPS |
|
|
Image Classification (Q)
|
96% |
1311
244.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2515
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6547
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13770
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12245
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.0 IPS |
|
|
Object Detection (HP)
|
97% |
2072
165.0 IPS |
|
|
Object Detection (Q)
|
94% |
2285
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6401
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
3686
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7265
56.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13046
100.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9033
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17140
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35273
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28602
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4541
167.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6741
248.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4915
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
6145
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5961
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5974
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5927
102.4 IPS |
