iPhone 16 Plus
Geekbench AI Score
4310
Single Precision Score
7427
Half Precision Score
5947
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 08:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1954
363.3 IPS |
|
|
Image Classification (HP)
|
100% |
3232
601.0 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3277
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8384
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17678
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14914
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2062
163.6 IPS |
|
|
Object Detection (HP)
|
97% |
3678
292.8 IPS |
|
|
Object Detection (Q)
|
94% |
2599
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3278
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6948
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
4036
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7519
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13763
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9630
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22860
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36676
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29926
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5274
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6818
251.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5986
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5941
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5941
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5915
102.2 IPS |
