iPhone 16 Plus
Geekbench AI Score
4260
Single Precision Score
7352
Half Precision Score
5865
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 09:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1931
359.1 IPS |
|
|
Image Classification (HP)
|
100% |
3183
591.9 IPS |
|
|
Image Classification (Q)
|
96% |
2179
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3265
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8308
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
17034
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14672
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2050
162.6 IPS |
|
|
Object Detection (HP)
|
97% |
3697
294.3 IPS |
|
|
Object Detection (Q)
|
94% |
2598
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3211
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6943
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
3921
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7295
56.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13609
105.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9375
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22449
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35908
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29329
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6748
249.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4739
175.0 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5988
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5877
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3612
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5913
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5923
102.4 IPS |
