iPhone 16 Plus
Geekbench AI Score
4353
Single Precision Score
7464
Half Precision Score
5971
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 03 2024 08:34 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1902
353.7 IPS |
|
|
Image Classification (HP)
|
100% |
3216
598.0 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2850
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3253
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8800
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18339
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15343
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2096
166.3 IPS |
|
|
Object Detection (HP)
|
97% |
3709
295.2 IPS |
|
|
Object Detection (Q)
|
94% |
2607
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6914
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
4047
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7695
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14076
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9804
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23493
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37595
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30498
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5449
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6797
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4863
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5906
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5889
101.8 IPS |
