iPhone 16 Plus
Geekbench AI Score
4008
Single Precision Score
7135
Half Precision Score
5651
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 09:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1910
355.2 IPS |
|
|
Image Classification (HP)
|
100% |
3218
598.4 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2821
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3217
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8045
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
16439
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13949
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (HP)
|
97% |
3672
292.4 IPS |
|
|
Object Detection (Q)
|
94% |
2533
201.9 IPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6703
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3696
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7054
54.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13171
101.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9015
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21550
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34615
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28570
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4969
183.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6551
241.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4480
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5943
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5761
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5251
90.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5422
93.7 IPS |
